ICDM 2010 Conference Information The 10th IEEE ...ICDM 2010 The 10th IEEE International Conference...
Transcript of ICDM 2010 Conference Information The 10th IEEE ...ICDM 2010 The 10th IEEE International Conference...
ICDM 2010
The 10th IEEE International Conference on Data Mining 14-17 December 2010 Sydney, Australia
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1. REPORT DATE 22 DEC 2010 2. REPORT TYPE
3. DATES COVERED 14-12-2010 to 17-12-2010
4. TITLE AND SUBTITLE The IEEE International Conference on Data Mining (10th) Held inSydney, Australia on 14-17 December 2010
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14. ABSTRACT The proceedings of the conference is in the form of a CD. The conference covers all aspects of data mining,including algorithms, software and systems, and applications. Thus the topics ranges from statistics,machine learning, pattern recognition, databases and data warehousing, data visualization,knowledge-based systems to high performance computing. This proceedings contains the keynote abstracts(3), regular papers (72), short papers (83) and tutorial abstracts (4).
15. SUBJECT TERMS Data Mining, Machine Learning, Artificial Intelligence, Knowledge Acquisition, Knowledge Discovery
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Conference Information
2010 IEEE International Conference on Data Mining
q Welcome Message from the Conference Chairsq Message from the Program Committee Co-Chairsq Organizing Committeeq Program Committeeq Title Page (Book version)q Copyright Page (Book version)q Table of Contents (Book version)q Author Index (Book version)q Publisher Information (Book version)
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Sessions
q Keynote Abstractsq Regular Papersq Short Papersq Tutorials
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Papers by Session
Keynote Abstracts
q Mining Billion-node Graphs: Patterns, Generators and ToolsChristos Faloutsos
q Assessing the Significance of Groups in High-Dimensional DataGeoff McLachlan
q 10 Years of Data Mining Research: Retrospect and ProspectXindong Wu
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Papers by Session
Regular Papers
q Detecting Novel Discrepancies in Communication NetworksJames Abello, Tina Eliassi-Rad, and Nishchal Devanur
q Multi-agent Random Walks for Local Clustering on GraphsMorteza Alamgir and Ulrike von Luxburg
q Spatiotemporal Event Detection in Mobility NetworkTom S. Au, Rong Duan, Heeyoung Kim, and Guang-Qin Ma
q An Unsupervised Approach to Modeling Personalized Contexts of Mobile UsersTengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, and Hui Xiong
q Fast and Flexible Multivariate Time Series Subsequence SearchKanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, and Ashok N. Srivastava
q iSAX 2.0: Indexing and Mining One Billion Time SeriesAlessandro Camerra, Themis Palpanas, Jin Shieh, and Eamonn Keogh
q Abstraction Augmented Markov ModelsCornelia Caragea, Adrian Silvescu, Doina Caragea, and Vasant Honavar
q A Graph-Based Approach for Multi-folder Email ClassificationSharma Chakravarthy, Aravind Venkatachalam, and Aditya Telang
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Papers by Session
q Scalable Influence Maximization in Social Networks under the Linear ThresholdModel
Wei Chen, Yifei Yuan, and Li Zhang
q CLUSMASTER: A Clustering Approach for Sampling Data Streams in SensorNetworks
Alzennyr Da Silva, Raja Chiky, and Georges Hebrail
q Bayesian Maximum Margin ClusteringBo Dai, Baogang Hu, and Gang Niu
q Viral Marketing for Multiple ProductsSamik Datta, Anirban Majumder, and Nisheeth Shrivastava
q Finding Local Anomalies in Very High Dimensional SpaceTimothy de Vries, Sanjay Chawla, and Michael E. Houle
q PGLCM: Efficient Parallel Mining of Closed Frequent Gradual ItemsetsTrong Dinh Thac Do, Anne Laurent, and Alexandre Termier
q Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structureswithin a Document
Lan Du, Wray Lindsay Buntine, and Huidong Jin
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Papers by Session
q Subgroup Discovery Meets Bayesian Networks—An Exceptional Model MiningApproach
Wouter Duivesteijn, Arno Knobbe, Ad Feelders, and Matthijs van Leeuwen
q Feature Selection for Unsupervised Learning Using Random Cluster EnsemblesHaytham Elghazel and Alex Aussem
q Learning Attribute-to-Feature Mappings for Cold-Start RecommendationsZeno Gantner, Lucas Drumond, Christoph Freudenthaler, Steffen Rendle,and Lars Schmidt-Thieme
q An Extensive Empirical Study on Semi-supervised LearningYuanyuan Guo, Xiaoda Niu, and Harry Zhang
q Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher’s ExactTest of Significance
Wilhelmiina Hämäläinen
q A Variance Reduction Framework for Stable Feature SelectionYue Han and Lei Yu
q Exponential Family Tensor Factorization for Missing-Values Predictionand Anomaly Detection
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato,Kazuo Kunieda, Keiji Yamada, and Kazushi Ikeda
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Papers by Session
q Rare Category CharacterizationJingrui He, Hanghang Tong, and Jaime Carbonell
q Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued DatasetsZhen Hu and Raj Bhatnagar
q Improved Consistent Sampling, Weighted Minhash and L1 SketchingSergey Ioffe
q An Approach Based on Tree Kernels for Opinion Mining of Online ProductReviews
Peng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu, and Qing Yang
q A Pairwise-Systematic Microaggregation for Statistical Disclosure ControlMd. Enamul Kabir, Hua Wang, and Yanchun Zhang
q Multi-label Feature Selection for Graph ClassificationXiangnan Kong and Philip S. Yu
q A Binary Decision Diagram-Based One-Class ClassifierTakuro Kutsuna
q Detecting Blackhole and Volcano Patterns in Directed NetworksZhongmou Li, Hui Xiong, Yanchi Liu, and Aoying Zhou
q Exploiting Local Data Uncertainty to Boost Global Outlier DetectionBo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, and Philip S. Yu
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Papers by Session
q Training Conditional Random Fields Using Transfer Learning for GestureRecognition
Jie Liu, Kai Yu, Yi Zhang, and Yalou Huang
q Stratified Sampling for Data Mining on the Deep WebTantan Liu, Fan Wang, and Gagan Agrawal
q Learning Markov Network Structure with Decision TreesDaniel Lowd and Jesse Davis
q Towards Structural Sparsity: An Explicit l2/l0 ApproachDijun Luo, Chris Ding, and Heng Huang
q Multi-document Summarization Using Minimum DistortionTengfei Ma and Xiaojun Wan
q A Log-Linear Model with Latent Features for Dyadic PredictionAditya Krishna Menon and Charles Elkan
q Edge Weight Regularization over Multiple Graphs for Similarity LearningPradeep Muthukrishnan, Dragomir Radev, and Qiaozhu Mei
q A New SVM Approach to Multi-instance Multi-label LearningNam Nguyen
q Bayesian Aggregation of Binary ClassifiersSunho Park and Seungjin Choi
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Papers by Session
q Permutations as Angular Data: Efficient Inference in Factorial SpacesSergey M. Plis, Terran Lane, and Vince D. Calhoun
q Separation of Interleaved Web Sessions with Heuristic SearchMarko Poženel, Viljan Mahnic, and Matjaž Kukar
q Consequences of Variability in Classifier Performance EstimatesTroy Raeder, T. Ryan Hoens, and Nitesh V. Chawla
q Mining Sensor Streams for Discovering Human Activity Patterns over TimeParisa Rashidi and Diane J. Cook
q Decision Trees for Uplift ModelingPiotr Rzepakowski and Szymon Jaroszewicz
q Co-clustering of Lagged DataEran Shaham, David Sarne, and Boaz Ben-Moshe
q Polishing the Right Apple: Anytime Classification Also Benefits Data Streamswith Constant Arrival Times
Jin Shieh and Eamonn Keogh
q Discovering Correlated Subspace Clusters in 3D Continuous-Valued DataKelvin Sim, Zeyar Aung, and Vivekanand Gopalkrishnan
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Papers by Session
q gSkeletonClu: Density-Based Network Clustering via Structure-Connected TreeDivision or Agglomeration
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, and Boqin Feng
q LogTree: A Framework for Generating System Events from Raw Textual LogsLiang Tang and Tao Li
q Mining Closed Strict EpisodesNikolaj Tatti and Boris Cule
q Multi-dimensional Mass Estimation and Mass-based ClusteringKai Ming Ting and Jonathan R. Wells
q minCEntropy: A Novel Information Theoretic Approach for the Generationof Alternative Clusterings
Nguyen Xuan Vinh and Julien Epps
q A Conscience On-line Learning Approach for Kernel-Based ClusteringChang-Dong Wang, Jian-Huang Lai, and Jun-Yong Zhu
q Weighted Feature Subset Non-negative Matrix Factorization and Its Applicationsto Document Understanding
Dingding Wang, Tao Li, and Chris Ding
q Learning a Bi-Stochastic Data Similarity MatrixFei Wang, Ping Li, and Arnd Christian König
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Papers by Session
q Active Spectral ClusteringXiang Wang and Ian Davidson
q Discovering Overlapping Groups in Social MediaXufei Wang, Lei Tang, Huiji Gao, and Huan Liu
q Adaptive Distances on Sets of VectorsAdam Woznica and Alexandros Kalousis
q SMILE: A Similarity-Based Approach for Multiple Instance LearningYanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, and Xindong Wu
q Modeling Information Diffusion in Implicit NetworksJaewon Yang and Jure Leskovec
q Term Filtering with Bounded ErrorZi Yang, Wei Li, Jie Tang, and Juanzi Li
q Exploiting Unlabeled Data to Enhance Ensemble DiversityMin-Ling Zhang and Zhi-Hua Zhou
q Constraint Based Dimension Correlation and Distance Divergence for ClusteringHigh-Dimensional Data
Xianchao Zhang, Yao Wu, and Yang Qiu
q Active Learning from Multiple Noisy Labelers with Varied CostsYaling Zheng, Stephen Scott, and Kun Deng
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Papers by Session
q A Novel Contrast Co-learning Framework for Generating High Quality TrainingData
Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, and Ming Zhang
q Network Simplification with Minimal Loss of ConnectivityFang Zhou, Sébastien Malher, and Hannu Toivonen
q Improving Kernel Methods through Complex Data MappingHang Zhou, Fabio Ramos, and Eric Nettleton
q NESVM: A Fast Gradient Method for Support Vector MachinesTianyi Zhou, Dacheng Tao, and Xindong Wu
q Clustering Large Attributed Graphs: An Efficient Incremental ApproachYang Zhou, Hong Cheng, and Jeffrey Xu Yu
q Mother Fugger: Mining Historical Manuscripts with Local Color PatchesQiang Zhu and Eamonn Keogh
q D-LDA: A Topic Modeling Approach without Constraint Generationfor Semi-defined Classification
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, and Zhongzhi Shi
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Papers by Session
Short Papers
q SONNET: Efficient Approximate Nearest Neighbor Using Multi-coreMohammad Al Hasan, Hilmi Yildirim, and Abhirup Chakraborty
q Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and LatentFactor Models
Suhrid Balakrishnan and Sumit Chopra
q Document Similarity Self-Join with MapReduceRanieri Baraglia, Gianmarco De Francisci Morales, and Claudio Lucchese
q Quantification via Probability EstimatorsAntonio Bella, Cèsar Ferri, José Hernández-Orallo, and María José Ramírez-Quintana
q Learning Collaborative Filtering and Its Application to People to PeopleRecommendation in Social Networks
Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton,and Ashesh Mahidadia
q Approximation of Frequentness Probability of Itemsets in Uncertain DataToon Calders, Calin Garboni, and Bart Goethals
q On Finding Frequent Patterns in Event SequencesAndrea Campagna and Rasmus Pagh
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Papers by Session
q Active Improvement of Hierarchical Object Features under Budget ConstraintsNicolas Cebron
q Pseudo Conditional Random Fields: Joint Training Approach to Segmentingand Labeling Sequence Data
Shing-Kit Chan and Wai Lam
q Location and Scatter Matching for Dataset Shift in Text MiningBo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong
q Learning Preferences with Millions of Parameters by Enforcing SparsityXi Chen, Bing Bai, Yanjun Qi, Qihang Lin, and Jaime Carbonell
q QMAS: Querying, Mining and Summarization of Multi-modal DatabasesRobson L.F. Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes,Gunhee Kim, Agma J.M. Traina, Caetano Traina Jr., and Christos Faloutsos
q Block-GP: Scalable Gaussian Process Regression for Multimodal DataKamalika Das and Ashok N. Srivastava
q Active Learning with Human-Like Noisy OracleJun Du and Charles X. Ling
q Monotone Relabeling in Ordinal ClassificationAd Feelders
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Papers by Session
q The Effect of History on Modeling Systems’ Performance: The Problem ofthe Demanding Lord
George Giannakopoulos and Themis Palpanas
q Resilient K-d Trees: K-Means in Space RevisitedFabian Gieseke, Gabriel Moruz, and Jan Vahrenhold
q Advertising Campaigns Management: Should We Be Greedy?Sertan Girgin, Jeremie Mary, Philippe Preux, and Olivier Nicol
q Accelerating Radius-Margin Parameter Selection for SVMs Using GeometricBounds
Ben Goodrich, David Albrecht, and Peter Tischer
q Enhancing Single-Objective Projective Clustering EnsemblesFrancesco Gullo, Carlotta Domeniconi, and Andrea Tagarelli
q Minimizing the Variance of Cluster Mixture Models for Clustering UncertainObjects
Francesco Gullo, Giovanni Ponti, and Andrea Tagarelli
q Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of TwoParadigms
Stephan Günnemann, Ines Färber, Brigitte Boden, and Thomas Seidl
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Papers by Session
q Multi-stream Join Answering for Mining Significant Cross-Stream CorrelationsRobert Gwadera
q Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a RetailService
Tsukasa Ishigaki, Takeshi Takenaka, and Yoichi Motomura
q Content-Based Methods for Predicting Web-Site Demographic AttributesSantosh Kabbur, Eui-Hong Han, and George Karypis
q Discrimination Aware Decision Tree LearningFaisal Kamiran, Toon Calders, and Mykola Pechenizkiy
q Patterns on the Connected Components of Terabyte-Scale GraphsU. Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos
q Attribution of Conversion Events to Multi-channel MediaBrendan Kitts, Liang Wei, Dyng Au, Amanda Powter, and Brian Burdick
q Mining Public Transport Usage for Personalised Intelligent Transport SystemsNeal Lathia, Jon Froehlich, and Licia Capra
q Micro-blogging Sentiment Detection by Collaborative Online LearningGuangxia Li, Steven C.H. Hoi, Kuiyu Chang, and Ramesh Jain
q Enforcing Vocabulary k-Anonymity by Semantic Similarity Based ClusteringJunqiang Liu and Ke Wang
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Papers by Session
q Efficient Probabilistic Latent Semantic Analysis with Sparsity ControlSen Liu, Chaolun Xia, and Xiaohong Jiang
q Understanding of Internal Clustering Validation MeasuresYanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu
q Transfer Learning via Cluster Correspondence InferenceMingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang, and Dou Shen
q Supervised Link Prediction Using Multiple SourcesZhengdong Lu, Berkant Savas, Wei Tang, and Inderjit S. Dhillon
q Addressing Concept-Evolution in Concept-Drifting Data StreamsMohammad M. Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han,and Bhavani Thuraisingham
q Sparse Boolean Matrix FactorizationsPauli Miettinen
q On the Computation of Stochastic Search Variable Selection in Linear Regressionwith UDFs
Mario Navas, Carlos Ordonez, and Veerabhadran Baladandayuthapani
q Data Editing Techniques to Allow the Application of Distance-Based OutlierDetection to Streams
Vit Niennattrakul, Eamonn Keogh, and Chotirat Ann Ratanamahatana
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Papers by Session
q Anomaly Detection Using an Ensemble of Feature ModelsKeith Noto, Carly Brodley, and Donna Slonim
q Assessing Data Mining Results on Matrices with RandomizationMarkus Ojala
q A Generalized Linear Threshold Model for Multiple CascadesNishith Pathak, Arindam Banerjee, and Jaideep Srivastava
q Recommending Social Events from Mobile Phone Location DataDaniele Quercia, Neal Lathia, Francesco Calabrese, Giusy Di Lorenzo, and Jon Crowcroft
q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzyand/or Possibilistic Partitions with the Rand Index
R. Quèré, H. Le Capitaine, N. Fraisseix, and C. Frélicot
q Financial Forecasting with Gompertz Multiple Kernel LearningHan Qin, Dejing Dou, and Yue Fang
q Leveraging D-Separation for Relational Data SetsMatthew J.H. Rattigan and David Jensen
q Factorization MachinesSteffen Rendle
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Papers by Session
q Accelerating Dynamic Time Warping Subsequence Search with GPUsand FPGAs
Doruk Sart, Abdullah Mueen, Walid Najjar, Eamonn Keogh, and Vit Niennattrakul
q An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea DetectionTim Schlüter and Stefan Conrad
q Bonsai: Growing Interesting Small TreesStephan Seufert, Srikanta Bedathur, Julian Mestre, and Gerhard Weikum
q Mixed-Membership Stochastic Block-Models for Transactional NetworksMahdi Shafiei and Hugh Chipman
q Generalized Probabilistic Matrix Factorizations for Collaborative FilteringHanhuai Shan and Arindam Banerjee
q Topic Modeling EnsemblesZhiyong Shen, Ping Luo, Shengwen Yang, and Xukun Shen
q Interval-valued Matrix Factorization with ApplicationsZhiyong Shen, Liang Du, Xukun Shen, and Yidong Shen
q Efficient Semi-supervised Spectral Co-clustering with ConstraintsXiaoxiao Shi, Wei Fan, and Philip S. Yu
q Transfer Learning on Heterogenous Feature Spaces via Spectral TransformationXiaoxiao Shi, Qi Liu, Wei Fan, Philip S. Yu, and Ruixin Zhu
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Papers by Session
q One-Class Matrix Completion with Low-Density FactorizationsVikas Sindhwani, Serhat S. Bucak, Jianying Hu, and Aleksandra Mojsilovic
q A System for Mining Temporal Physiological Data Streams for AdvancedPrognostic Decision Support
Jimeng Sun, Daby Sow, Jianying Hu, and Shahram Ebadollahi
q Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,and Fast Training Method
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, and Naonori Ueda
q Visualizing Graphs Using Minimum Spanning DendrogramsDaniel Svonava and Michail Vlachos
q Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-PhysicalSystems
Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih-Chieh Hung, and Wen-Chih Peng
q Node Similarities from Spreading ActivationKilian Thiel and Michael R. Berthold
q On the Vulnerability of Large GraphsHanghang Tong, B. Aditya Prakash, Charalampos Tsourakakis, Tina Eliassi-Rad,Christos Faloutsos, and Duen Horng Chau
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Papers by Session
q Testing the Significance of Patterns in Data with Cluster StructureNiko Vuokko and Petteri Kaski
q Compressed Nonnegative Sparse CodingFei Wang and Ping Li
q Anonymizing Temporal DataKe Wang, Yabo Xu, Raymond Chi-Wing Wong, and Ada Wai-Chee Fu
q Homotopy Regularization for BoostingZheng Wang, Yangqiu Song, and Changshui Zhang
q What Do People Want in Microblogs? Measuring Interestingness of Hashtagsin Twitter
Jianshu Weng, Ee-Peng Lim, Qi He, and Cane Wing-Ki Leung
q Probabilistic Inference Protection on Anonymized DataRaymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, and Philip S. Yu
q Collaborative Learning between Visual Content and Hidden Semantic for ImageRetrieval
Jun Wu, Ming-Yu Lu, and Chun-Li Wang
q Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern MiningYan Xie and Philip S. Yu
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Papers by Session
q Personalizing Web Page Recommendation via Collaborative Filteringand Topic-Aware Markov Model
Qingyan Yang, Ju Fan, Jianyong Wang, and Lizhu Zhou
q Passive Sampling for RegressionHwanjo Yu and Sungchul Kim
q Modeling Experts and Novices in Citizen Science Data for Species DistributionModeling
Jun Yu, Weng-Keen Wong, and Rebecca A. Hutchinson
q Causal Discovery from Streaming FeaturesKui Yu, Xindong Wu, Hao Wang, and Wei Ding
q ABS: The Anti Bouncing Model for Usage Data StreamsChongsheng Zhang, Florent Masseglia, and Yves Lechevallier
q Classifier and Cluster Ensembles for Mining Concept Drifting Data StreamsPeng Zhang, Xingquan Zhu, Jianlong Tan, and Li Guo
q Graph-Based Semi-supervised Learning with Adaptive Similarity EstimationXianchao Zhang, Yansheng Jiang, Wenxin Liang, and Xin Han
q K-AP: Generating Specified K Clusters by Efficient Affinity PropagationXiangliang Zhang, Wei Wang, Kjetil Nørvåg, and Michèle Sebag
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Papers by Session
q MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph ModelYuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, and Jinghai Rao
q Hierarchical Ensemble ClusteringLi Zheng, Tao Li, and Chris Ding
q Frequent Instruction Sequential Pattern Mining in Hardware Sample DataJia Zou, Jing Xiao, Rui Hou, and Yanqi Wang
q Efficient Episode Mining with Minimal and Non-overlapping OccurrencesHuisheng Zhu, Peng Wang, Xianmang He, Yujia Li, Wei Wang, and Baile Shi
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Papers by Session
Tutorials
q Spatial and Spatio-temporal Data MiningVania Bogorny and Shashi Shekhar
q Knowledge Discovery in Academic Drug Discovery Programs: Opportunitiesand Challenges
Jun Huan
q How to Do Good Data Mining Research and Get it Published in Top VenuesEamonn Keogh
q Discovering Multiple Clustering Solutions: Grouping Objects in Different Viewsof the Data
Emmanuel Müller, Stephan Günnemann, Ines Färber, and Thomas Seidl
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Papers by Author
Aq Abello, Jamesq Aggarwal, Charuq Agrawal, Gaganq Akoglu, Lemanq Al Hasan, Mohammadq Alamgir, Mortezaq Albrecht, Davidq Au, Dyngq Au, Tom S.q Aung, Zeyarq Aussem, Alex
Bq Bai, Bingq Bain, Michael
q Baladandayuthapani, Veerabhadranq Balakrishnan, Suhridq Banerjee, Arindamq Bao, Tengfeiq Baraglia, Ranieriq Bedathur, Srikantaq Bella, Antonioq Ben-Moshe, Boazq Berthold, Michael R.q Bhaduri, Kanishkaq Bhatnagar, Rajq Boden, Brigitteq Bogorny, Vaniaq Brodley, Carlyq Bucak, Serhat S.q Buntine, Wray Lindsay
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Papers by Author
q Burdick, Brian
Cq Cai, Xiongcaiq Calabrese, Francescoq Calders, Toonq Calhoun, Vince D.q Camerra, Alessandroq Campagna, Andreaq Cao, Happiaq Cao, Longbingq Capra, Liciaq Caragea, Corneliaq Caragea, Doinaq Carbonell, Jaimeq Cebron, Nicolasq Chakraborty, Abhirup
q Chakravarthy, Sharmaq Chan, Shing-Kitq Chang, Kuiyuq Chau, Duen Horngq Chawla, Nitesh V.q Chawla, Sanjayq Chen, Boq Chen, Enhongq Chen, Qingq Chen, Weiq Chen, Xiq Chen, Yiranq Chen, Zhengq Cheng, Hongq Cheng, Weiq Chiky, Raja
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Papers by Author
q Chipman, Hughq Choi, Seungjinq Chopra, Sumitq Compton, Paulq Conrad, Stefanq Cook, Diane J.q Cordeiro, Robson L.F.q Crowcroft, Jonq Cule, Boris
dq de Vries, Timothy
Dq Da Silva, Alzennyrq Dai, Boq Das, Kamalika
q Datta, Samikq Davidson, Ianq Davis, Jesseq De Francisci Morales, Gianmarcoq Deng, Hongboq Deng, Kunq Devanur, Nishchalq Dhillon, Inderjit S.q Di Lorenzo, Giusyq Ding, Chrisq Ding, Weiq Do, Trong Dinh Thacq Domeniconi, Carlottaq Dou, Dejingq Drumond, Lucasq Du, Jun
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Papers by Author
q Du, Lanq Du, Liangq Duan, Rongq Duivesteijn, Wouter
Eq Ebadollahi, Shahramq Elghazel, Haythamq Eliassi-Rad, Tinaq Elkan, Charlesq Epps, Julien
Fq Faloutsos, Christosq Fan, Juq Fan, Weiq Fang, Yue
q Färber, Inesq Feelders, Adq Feng, Boqinq Ferri, Cèsarq Fraisseix, N.q Frélicot, C.q Freudenthaler, Christophq Froehlich, Jonq Fu, Ada Wai-Cheeq Fu, Hongping
Gq Gantner, Zenoq Gao, Huijiq Gao, Jingq Gao, Xuedongq Garboni, Calin
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q Giannakopoulos, Georgeq Gieseke, Fabianq Girgin, Sertanq Goethals, Bartq Goodrich, Benq Gopalkrishnan, Vivekanandq Gullo, Francescoq Günnemann, Stephanq Guo, Fanq Guo, Liq Guo, Yuanyuanq Gwadera, Robert
Hq Hämäläinen, Wilhelmiinaq Han, Eui-Hongq Han, Jiawei
q Han, Xinq Han, Yueq Haverkamp, Donna S.q Hayashi, Koheiq He, Jingruiq He, Qiq He, Qingq He, Xianmangq Hebrail, Georgesq Hernández-Orallo, Joséq Hoens, T. Ryanq Hoi, Steven C.H.q Honavar, Vasantq Horne, James H.q Hou, Ruiq Houle, Michael E.
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Papers by Author
q Hu, Baogangq Hu, Jianyingq Hu, Zhenq Huan, Junq Huang, Hengq Huang, Jianbinq Huang, Yalouq Hughes, Ellen K.q Hung, Chih-Chiehq Hutchinson, Rebecca A.
Iq Ikeda, Kazushiq Ioffe, Sergeyq Ishigaki, Tsukasa
Jq Jain, Rameshq Jaroszewicz, Szymonq Jensen, Davidq Jiang, Pengq Jiang, Xiaohongq Jiang, Yanshengq Jin, Huidongq Jin, Xiaoming
Kq Kabbur, Santoshq Kabir, Md. Enamulq Kalousis, Alexandrosq Kamiran, Faisalq Kamiya, Yuki
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q Kang, U.q Karypis, Georgeq Kashima, Hisashiq Kaski, Petteriq Kato, Daishiq Keogh, Eamonnq Khan, Latifurq Kim, Gunheeq Kim, Heeyoungq Kim, Sangkyumq Kim, Sungchulq Kim, Yang Sokq Kitts, Brendanq Knobbe, Arnoq Kong, Xiangnanq König, Arnd Christian
q Krzywicki, Alfredq Kukar, Matjažq Kunieda, Kazuoq Kutsuna, Takuro
Lq Lai, Jian-Huangq Lam, Waiq Lane, Terranq Lathia, Nealq Laurent, Anneq Le Capitaine, H.q Lechevallier, Yvesq Leskovec, Jureq Leung, Cane Wing-Kiq Li, Guangxiaq Li, Juanzi
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q Li, Pingq Li, Taoq Li, Weiq Li, Yujiaq Li, Zhongmouq Liang, Wenxinq Lim, Ee-Pengq Lin, Qihangq Ling, Charles X.q Liu, Boq Liu, Huanq Liu, Jieq Liu, Junqiangq Liu, Ningq Liu, Qiq Liu, Sen
q Liu, Tantanq Liu, Yanchiq Long, Mingshengq Lowd, Danielq Lu, Ming-Yuq Lu, Zhengdongq Lucchese, Claudioq Luo, Dijunq Luo, Ping
Mq Ma, Guang-Qinq Ma, Tengfeiq Mahidadia, Asheshq Mahnic, Viljanq Majumder, Anirbanq Malher, Sébastien
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q Mary, Jeremieq Masseglia, Florentq Masud, Mohammad M.q Matsuzaki, Takuyaq McGlohon, Maryq McLachlan, Geoffq Mei, Qiaozhuq Menon, Aditya Krishnaq Mestre, Julianq Miettinen, Pauliq Mojsilovic, Aleksandraq Moruz, Gabrielq Motomura, Yoichiq Mueen, Abdullahq Müller, Emmanuelq Muthukrishnan, Pradeep
Nq Najjar, Walidq Navas, Marioq Nettleton, Ericq Nguyen, Namq Nicol, Olivierq Niennattrakul, Vitq Niu, Gangq Niu, Xiaodaq Niu, Zhendongq Nørvåg, Kjetilq Noto, Keith
Oq Ojala, Markusq Ordonez, Carlos
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q Oza, Nikunj C.
Pq Pagh, Rasmusq Palpanas, Themisq Park, Sunhoq Pathak, Nishithq Pechenizkiy, Mykolaq Pei, Jianq Peng, Wen-Chihq Plis, Sergey M.q Ponti, Giovanniq Powter, Amandaq Poženel, Markoq Prakash, B. Adityaq Preux, Philippe
Qq Qi, Yanjunq Qin, Hanq Qiu, Yangq Quercia, Danieleq Quèré, R.
Rq Radev, Dragomirq Raeder, Troyq Ramírez-Quintana, María Joséq Ramos, Fabioq Rao, Jinghaiq Rashidi, Parisaq Ratanamahatana, Chotirat Annq Rattigan, Matthew J.H.
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q Rendle, Steffenq Rzepakowski, Piotr
Sq Sarne, Davidq Sart, Dorukq Savas, Berkantq Schlüter, Timq Schmidt-Thieme, Larsq Scott, Stephenq Sebag, Michèleq Seidl, Thomasq Seufert, Stephanq Shafiei, Mahdiq Shaham, Eranq Shan, Hanhuaiq Shekhar, Shashi
q Shen, Douq Shen, Xukunq Shen, Yidongq Shen, Zhiyongq Shi, Baileq Shi, Xiaoxiaoq Shi, Zhongzhiq Shibata, Tomohiroq Shieh, Jinq Shrivastava, Nisheethq Silvescu, Adrianq Sim, Kelvinq Sindhwani, Vikasq Slonim, Donnaq Song, Yangqiuq Sow, Daby
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q Srivastava, Ashok N.q Srivastava, Jaideepq Sun, Heliq Sun, Jimengq Sun, Xuq Svonava, Daniel
Tq Tagarelli, Andreaq Takenaka, Takeshiq Takenouchi, Takashiq Tan, Jianlongq Tang, Jieq Tang, Leiq Tang, Liangq Tang, Lu-Anq Tang, Wei
q Tao, Dachengq Tatti, Nikolajq Telang, Adityaq Termier, Alexandreq Thiel, Kilianq Thuraisingham, Bhavaniq Tian, Jileiq Ting, Kai Mingq Tischer, Peterq Toivonen, Hannuq Tong, Hanghangq Traina Jr., Caetanoq Traina, Agma J.M.q Tsang, Ivorq Tsourakakis, Charalampos
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Uq Ueda, Naonori
vq van Leeuwen, Matthijsq von Luxburg, Ulrike
Vq Vahrenhold, Janq Venkatachalam, Aravindq Vinh, Nguyen Xuanq Vlachos, Michailq Vuokko, Niko
Wq Wan, Xiaojun
q Wang, Chang-Dongq Wang, Chun-Liq Wang, Dingdingq Wang, Fanq Wang, Feiq Wang, Haoq Wang, Huaq Wang, Jianminq Wang, Jianyongq Wang, Keq Wang, Pengq Wang, Weiq Wang, Xiangq Wang, Xufeiq Wang, Yanqiq Wang, Zheng
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q Wei, Liangq Weikum, Gerhardq Wells, Jonathan R.q Weng, Jianshuq Wobcke, Wayneq Wong, Raymond Chi-Wingq Wong, Tak-Lamq Wong, Weng-Keenq Woznica, Adamq Wu, Junq Wu, Junjieq Wu, Xindongq Wu, Yao
Xq Xia, Chaolunq Xiao, Jing
q Xiao, Yanshanq Xie, Yanq Xiong, Huiq Xiong, Yuhongq Xu, Yabo
Yq Yamada, Keijiq Yan, Junq Yan, Shuichengq Yang, Jaewonq Yang, Qingq Yang, Qingyanq Yang, Shengwenq Yang, Ziq Yildirim, Hilmiq Yin, Jie
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q Yu, Hwanjoq Yu, Jeffrey Xuq Yu, Junq Yu, Kaiq Yu, Kuiq Yu, Leiq Yu, Philip S.q Yu, Xiaoq Yuan, Yifei
Zq Zhang, Changshuiq Zhang, Chongshengq Zhang, Chunxiaq Zhang, Harryq Zhang, Liq Zhang, Ming
q Zhang, Min-Lingq Zhang, Pengq Zhang, Xianchaoq Zhang, Xiangliangq Zhang, Yanchunq Zhang, Yiq Zhang, Yuanq Zhao, Peixiangq Zheng, Liq Zheng, Yalingq Zheng, Zeyuq Zhou, Aoyingq Zhou, Fangq Zhou, Hangq Zhou, Lizhuq Zhou, Tianyi
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q Zhou, Yangq Zhou, Zhi-Huaq Zhu, Huishengq Zhu, Jun-Yongq Zhu, Qiangq Zhu, Ruixinq Zhu, Xingquanq Zhuang, Fuzhenq Zou, Jia
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Abello, Jamesq Detecting Novel Discrepancies in Communication Networks
Aggarwal, Charuq Addressing Concept-Evolution in Concept-Drifting Data Streams
Agrawal, Gaganq Stratified Sampling for Data Mining on the Deep Web
Akoglu, Lemanq Patterns on the Connected Components of Terabyte-Scale Graphs
Al Hasan, Mohammadq SONNET: Efficient Approximate Nearest Neighbor Using Multi-core
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Alamgir, Mortezaq Multi-agent Random Walks for Local Clustering on Graphs
Albrecht, Davidq Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric
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Au, Dyngq Attribution of Conversion Events to Multi-channel Media
Au, Tom S.q Spatiotemporal Event Detection in Mobility Network
Aung, Zeyarq Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data
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Aussem, Alexq Feature Selection for Unsupervised Learning Using Random Cluster Ensembles
Bai, Bingq Learning Preferences with Millions of Parameters by Enforcing Sparsity
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Balakrishnan, Suhridq Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent
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Bao, Tengfeiq An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users
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Bedathur, Srikantaq Bonsai: Growing Interesting Small Trees
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Bella, Antonioq Quantification via Probability Estimators
Ben-Moshe, Boazq Co-clustering of Lagged Data
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Boden, Brigitteq Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two
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Bucak, Serhat S.q One-Class Matrix Completion with Low-Density Factorizations
Buntine, Wray Lindsayq Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures
within a Document
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Burdick, Brianq Attribution of Conversion Events to Multi-channel Media
Cai, Xiongcaiq Learning Collaborative Filtering and Its Application to People to People
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Calders, Toonq Approximation of Frequentness Probability of Itemsets in Uncertain Dataq Discrimination Aware Decision Tree Learning
Calhoun, Vince D.q Permutations as Angular Data: Efficient Inference in Factorial Spaces
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Camerra, Alessandroq iSAX 2.0: Indexing and Mining One Billion Time Series
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Cao, Longbingq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq SMILE: A Similarity-Based Approach for Multiple Instance Learning
Capra, Liciaq Mining Public Transport Usage for Personalised Intelligent Transport Systems
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Caragea, Corneliaq Abstraction Augmented Markov Models
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Chakraborty, Abhirupq SONNET: Efficient Approximate Nearest Neighbor Using Multi-core
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Chakravarthy, Sharmaq A Graph-Based Approach for Multi-folder Email Classification
Chan, Shing-Kitq Pseudo Conditional Random Fields: Joint Training Approach to Segmenting
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Chang, Kuiyuq Micro-blogging Sentiment Detection by Collaborative Online Learning
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Chawla, Nitesh V.q Consequences of Variability in Classifier Performance Estimates
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Chawla, Sanjayq Finding Local Anomalies in Very High Dimensional Space
Chen, Boq Location and Scatter Matching for Dataset Shift in Text Mining
Chen, Enhongq An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users
Chen, Qingq Addressing Concept-Evolution in Concept-Drifting Data Streams
Chen, Weiq Scalable Influence Maximization in Social Networks under the Linear Threshold
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Chen, Xiq Learning Preferences with Millions of Parameters by Enforcing Sparsity
Chen, Yiranq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Chen, Zhengq A Novel Contrast Co-learning Framework for Generating High Quality Training
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Cheng, Hongq Clustering Large Attributed Graphs: An Efficient Incremental Approach
Cheng, Weiq Transfer Learning via Cluster Correspondence Inference
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Chiky, Rajaq CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor
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Chipman, Hughq Mixed-Membership Stochastic Block-Models for Transactional Networks
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Chopra, Sumitq Two of a Kind or the Ratings Game? Adaptive Pairwise Preferences and Latent
Factor Models
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Compton, Paulq Learning Collaborative Filtering and Its Application to People to People
Recommendation in Social Networks
Conrad, Stefanq An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea Detection
Cook, Diane J.q Mining Sensor Streams for Discovering Human Activity Patterns over Time
Cordeiro, Robson L.F.q QMAS: Querying, Mining and Summarization of Multi-modal Databases
Crowcroft, Jonq Recommending Social Events from Mobile Phone Location Data
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Cule, Borisq Mining Closed Strict Episodes
Da Silva, Alzennyrq CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor
Networks
Dai, Boq Bayesian Maximum Margin Clustering
Das, Kamalikaq Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Datta, Samikq Viral Marketing for Multiple Products
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Davidson, Ianq Active Spectral Clustering
Davis, Jesseq Learning Markov Network Structure with Decision Trees
De Francisci Morales, Gianmarcoq Document Similarity Self-Join with MapReduce
de Vries, Timothyq Finding Local Anomalies in Very High Dimensional Space
Deng, Hongboq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree
Division or Agglomeration
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Deng, Kunq Active Learning from Multiple Noisy Labelers with Varied Costs
Devanur, Nishchalq Detecting Novel Discrepancies in Communication Networks
Dhillon, Inderjit S.q Supervised Link Prediction Using Multiple Sources
Di Lorenzo, Giusyq Recommending Social Events from Mobile Phone Location Data
Ding, Chrisq Towards Structural Sparsity: An Explicit l2/l0 Approachq Weighted Feature Subset Non-negative Matrix Factorization and Its Applications
to Document Understanding
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q Hierarchical Ensemble Clustering
Ding, Weiq Causal Discovery from Streaming Features
Do, Trong Dinh Thacq PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets
Domeniconi, Carlottaq Enhancing Single-Objective Projective Clustering Ensembles
Dou, Dejingq Financial Forecasting with Gompertz Multiple Kernel Learning
Drumond, Lucasq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
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Du, Junq Active Learning with Human-Like Noisy Oracle
Du, Lanq Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures
within a Document
Du, Liangq Interval-valued Matrix Factorization with Applications
Duan, Rongq Spatiotemporal Event Detection in Mobility Network
Duivesteijn, Wouterq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining
Approach
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Ebadollahi, Shahramq A System for Mining Temporal Physiological Data Streams for Advanced
Prognostic Decision Support
Elghazel, Haythamq Feature Selection for Unsupervised Learning Using Random Cluster Ensembles
Eliassi-Rad, Tinaq Detecting Novel Discrepancies in Communication Networksq On the Vulnerability of Large Graphs
Elkan, Charlesq A Log-Linear Model with Latent Features for Dyadic Prediction
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Epps, Julienq minCEntropy: A Novel Information Theoretic Approach for the Generation
of Alternative Clusterings
Faloutsos, Christosq Mining Billion-node Graphs: Patterns, Generators and Toolsq QMAS: Querying, Mining and Summarization of Multi-modal Databasesq Patterns on the Connected Components of Terabyte-Scale Graphsq On the Vulnerability of Large Graphs
Fan, Juq Personalizing Web Page Recommendation via Collaborative Filtering
and Topic-Aware Markov Model
Fan, Weiq Efficient Semi-supervised Spectral Co-clustering with Constraints
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q Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation
Fang, Yueq Financial Forecasting with Gompertz Multiple Kernel Learning
Färber, Inesq Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two
Paradigmsq Discovering Multiple Clustering Solutions: Grouping Objects in Different Views
of the Data
Feelders, Adq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining
Approachq Monotone Relabeling in Ordinal Classification
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Feng, Boqinq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree
Division or Agglomeration
Ferri, Cèsarq Quantification via Probability Estimators
Fraisseix, N.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy
and/or Possibilistic Partitions with the Rand Index
Frélicot, C.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy
and/or Possibilistic Partitions with the Rand Index
Freudenthaler, Christophq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
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Froehlich, Jonq Mining Public Transport Usage for Personalised Intelligent Transport Systems
Fu, Ada Wai-Cheeq Anonymizing Temporal Dataq Probabilistic Inference Protection on Anonymized Data
Fu, Hongpingq An Approach Based on Tree Kernels for Opinion Mining of Online Product
Reviews
Gantner, Zenoq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Gao, Huijiq Discovering Overlapping Groups in Social Media
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Gao, Jingq Addressing Concept-Evolution in Concept-Drifting Data Streams
Gao, Xuedongq Understanding of Internal Clustering Validation Measures
Garboni, Calinq Approximation of Frequentness Probability of Itemsets in Uncertain Data
Giannakopoulos, Georgeq The Effect of History on Modeling Systems’ Performance: The Problem of
the Demanding Lord
Gieseke, Fabianq Resilient K-d Trees: K-Means in Space Revisited
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Girgin, Sertanq Advertising Campaigns Management: Should We Be Greedy?
Goethals, Bartq Approximation of Frequentness Probability of Itemsets in Uncertain Data
Goodrich, Benq Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric
Bounds
Gopalkrishnan, Vivekanandq Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data
Gullo, Francescoq Enhancing Single-Objective Projective Clustering Ensembles
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q Minimizing the Variance of Cluster Mixture Models for Clustering UncertainObjects
Günnemann, Stephanq Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two
Paradigmsq Discovering Multiple Clustering Solutions: Grouping Objects in Different Views
of the Data
Guo, Fanq QMAS: Querying, Mining and Summarization of Multi-modal Databases
Guo, Liq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
Guo, Yuanyuanq An Extensive Empirical Study on Semi-supervised Learning
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Gwadera, Robertq Multi-stream Join Answering for Mining Significant Cross-Stream Correlations
Hämäläinen, Wilhelmiinaq Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher’s Exact
Test of Significance
Han, Eui-Hongq Content-Based Methods for Predicting Web-Site Demographic Attributes
Han, Jiaweiq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree
Division or Agglomerationq Addressing Concept-Evolution in Concept-Drifting Data Streamsq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical
Systems
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Han, Xinq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation
Han, Yueq A Variance Reduction Framework for Stable Feature Selection
Haverkamp, Donna S.q QMAS: Querying, Mining and Summarization of Multi-modal Databases
Hayashi, Koheiq Exponential Family Tensor Factorization for Missing-Values Prediction
and Anomaly Detection
He, Jingruiq Rare Category Characterization
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He, Qiq What Do People Want in Microblogs? Measuring Interestingness of Hashtags
in Twitter
He, Qingq D-LDA: A Topic Modeling Approach without Constraint Generation
for Semi-defined Classification
He, Xianmangq Efficient Episode Mining with Minimal and Non-overlapping Occurrences
Hebrail, Georgesq CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor
Networks
Hernández-Orallo, Joséq Quantification via Probability Estimators
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Hoens, T. Ryanq Consequences of Variability in Classifier Performance Estimates
Hoi, Steven C.H.q Micro-blogging Sentiment Detection by Collaborative Online Learning
Honavar, Vasantq Abstraction Augmented Markov Models
Horne, James H.q QMAS: Querying, Mining and Summarization of Multi-modal Databases
Hou, Ruiq Frequent Instruction Sequential Pattern Mining in Hardware Sample Data
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Houle, Michael E.q Finding Local Anomalies in Very High Dimensional Space
Hu, Baogangq Bayesian Maximum Margin Clustering
Hu, Jianyingq One-Class Matrix Completion with Low-Density Factorizationsq A System for Mining Temporal Physiological Data Streams for Advanced
Prognostic Decision Support
Hu, Zhenq Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued Datasets
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Huan, Junq Knowledge Discovery in Academic Drug Discovery Programs: Opportunities
and Challenges
Huang, Hengq Towards Structural Sparsity: An Explicit l2/l0 Approach
Huang, Jianbinq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree
Division or Agglomeration
Huang, Yalouq Training Conditional Random Fields Using Transfer Learning for Gesture
Recognition
Hughes, Ellen K.q QMAS: Querying, Mining and Summarization of Multi-modal Databases
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Hung, Chih-Chiehq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical
Systems
Hutchinson, Rebecca A.q Modeling Experts and Novices in Citizen Science Data for Species Distribution
Modeling
Ikeda, Kazushiq Exponential Family Tensor Factorization for Missing-Values Prediction
and Anomaly Detection
Ioffe, Sergeyq Improved Consistent Sampling, Weighted Minhash and L1 Sketching
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Ishigaki, Tsukasaq Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail
Service
Jain, Rameshq Micro-blogging Sentiment Detection by Collaborative Online Learning
Jaroszewicz, Szymonq Decision Trees for Uplift Modeling
Jensen, Davidq Leveraging D-Separation for Relational Data Sets
Jiang, Pengq An Approach Based on Tree Kernels for Opinion Mining of Online Product
Reviews
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Jiang, Xiaohongq Efficient Probabilistic Latent Semantic Analysis with Sparsity Control
Jiang, Yanshengq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation
Jin, Huidongq Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures
within a Document
Jin, Xiaomingq Transfer Learning via Cluster Correspondence Inference
Kabbur, Santoshq Content-Based Methods for Predicting Web-Site Demographic Attributes
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Kabir, Md. Enamulq A Pairwise-Systematic Microaggregation for Statistical Disclosure Control
Kalousis, Alexandrosq Adaptive Distances on Sets of Vectors
Kamiran, Faisalq Discrimination Aware Decision Tree Learning
Kamiya, Yukiq Exponential Family Tensor Factorization for Missing-Values Prediction
and Anomaly Detection
Kang, U.q Patterns on the Connected Components of Terabyte-Scale Graphs
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Karypis, Georgeq Content-Based Methods for Predicting Web-Site Demographic Attributes
Kashima, Hisashiq Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,
and Fast Training Method
Kaski, Petteriq Testing the Significance of Patterns in Data with Cluster Structure
Kato, Daishiq Exponential Family Tensor Factorization for Missing-Values Prediction
and Anomaly Detection
Keogh, Eamonnq iSAX 2.0: Indexing and Mining One Billion Time Series
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q Polishing the Right Apple: Anytime Classification Also Benefits Data Streamswith Constant Arrival Times
q Mother Fugger: Mining Historical Manuscripts with Local Color Patchesq Data Editing Techniques to Allow the Application of Distance-Based Outlier
Detection to Streamsq Accelerating Dynamic Time Warping Subsequence Search with GPUs
and FPGAsq How to Do Good Data Mining Research and Get it Published in Top Venues
Khan, Latifurq Addressing Concept-Evolution in Concept-Drifting Data Streams
Kim, Gunheeq QMAS: Querying, Mining and Summarization of Multi-modal Databases
Kim, Heeyoungq Spatiotemporal Event Detection in Mobility Network
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Kim, Sangkyumq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical
Systems
Kim, Sungchulq Passive Sampling for Regression
Kim, Yang Sokq Learning Collaborative Filtering and Its Application to People to People
Recommendation in Social Networks
Kitts, Brendanq Attribution of Conversion Events to Multi-channel Media
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Knobbe, Arnoq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining
Approach
Kong, Xiangnanq Multi-label Feature Selection for Graph Classification
König, Arnd Christianq Learning a Bi-Stochastic Data Similarity Matrix
Krzywicki, Alfredq Learning Collaborative Filtering and Its Application to People to People
Recommendation in Social Networks
Kukar, Matjažq Separation of Interleaved Web Sessions with Heuristic Search
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Kunieda, Kazuoq Exponential Family Tensor Factorization for Missing-Values Prediction
and Anomaly Detection
Kutsuna, Takuroq A Binary Decision Diagram-Based One-Class Classifier
Lai, Jian-Huangq A Conscience On-line Learning Approach for Kernel-Based Clustering
Lam, Waiq Pseudo Conditional Random Fields: Joint Training Approach to Segmenting
and Labeling Sequence Dataq Location and Scatter Matching for Dataset Shift in Text Mining
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Lane, Terranq Permutations as Angular Data: Efficient Inference in Factorial Spaces
Lathia, Nealq Mining Public Transport Usage for Personalised Intelligent Transport Systemsq Recommending Social Events from Mobile Phone Location Data
Laurent, Anneq PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets
Le Capitaine, H.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy
and/or Possibilistic Partitions with the Rand Index
Lechevallier, Yvesq ABS: The Anti Bouncing Model for Usage Data Streams
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Leskovec, Jureq Modeling Information Diffusion in Implicit Networks
Leung, Cane Wing-Kiq What Do People Want in Microblogs? Measuring Interestingness of Hashtags
in Twitter
Li, Guangxiaq Micro-blogging Sentiment Detection by Collaborative Online Learning
Li, Juanziq Term Filtering with Bounded Error
Li, Pingq Learning a Bi-Stochastic Data Similarity Matrixq Compressed Nonnegative Sparse Coding
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Li, Taoq LogTree: A Framework for Generating System Events from Raw Textual Logsq Weighted Feature Subset Non-negative Matrix Factorization and Its Applications
to Document Understandingq Hierarchical Ensemble Clustering
Li, Weiq Term Filtering with Bounded Error
Li, Yujiaq Efficient Episode Mining with Minimal and Non-overlapping Occurrences
Li, Zhongmouq Detecting Blackhole and Volcano Patterns in Directed Networksq Understanding of Internal Clustering Validation Measures
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Liang, Wenxinq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation
Lim, Ee-Pengq What Do People Want in Microblogs? Measuring Interestingness of Hashtags
in Twitter
Lin, Qihangq Learning Preferences with Millions of Parameters by Enforcing Sparsity
Ling, Charles X.q Active Learning with Human-Like Noisy Oracle
Liu, Boq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq SMILE: A Similarity-Based Approach for Multiple Instance Learning
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Liu, Huanq Discovering Overlapping Groups in Social Media
Liu, Jieq Training Conditional Random Fields Using Transfer Learning for Gesture
Recognition
Liu, Junqiangq Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering
Liu, Ningq A Novel Contrast Co-learning Framework for Generating High Quality Training
Data
Liu, Qiq Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation
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Liu, Senq Efficient Probabilistic Latent Semantic Analysis with Sparsity Control
Liu, Tantanq Stratified Sampling for Data Mining on the Deep Web
Liu, Yanchiq Detecting Blackhole and Volcano Patterns in Directed Networksq Understanding of Internal Clustering Validation Measures
Long, Mingshengq Transfer Learning via Cluster Correspondence Inference
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Lu, Ming-Yuq Collaborative Learning between Visual Content and Hidden Semantic for Image
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Lu, Zhengdongq Supervised Link Prediction Using Multiple Sources
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Luo, Dijunq Towards Structural Sparsity: An Explicit l2/l0 Approach
Luo, Pingq D-LDA: A Topic Modeling Approach without Constraint Generation
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Ma, Guang-Qinq Spatiotemporal Event Detection in Mobility Network
Ma, Tengfeiq Multi-document Summarization Using Minimum Distortion
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Malher, Sébastienq Network Simplification with Minimal Loss of Connectivity
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Masud, Mohammad M.q Addressing Concept-Evolution in Concept-Drifting Data Streams
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McGlohon, Maryq Patterns on the Connected Components of Terabyte-Scale Graphs
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Mestre, Julianq Bonsai: Growing Interesting Small Trees
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Miettinen, Pauliq Sparse Boolean Matrix Factorizations
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Motomura, Yoichiq Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail
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Mueen, Abdullahq Accelerating Dynamic Time Warping Subsequence Search with GPUs
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Müller, Emmanuelq Discovering Multiple Clustering Solutions: Grouping Objects in Different Views
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Navas, Marioq On the Computation of Stochastic Search Variable Selection in Linear Regression
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Nguyen, Namq A New SVM Approach to Multi-instance Multi-label Learning
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Niu, Xiaodaq An Extensive Empirical Study on Semi-supervised Learning
Niu, Zhendongq An Approach Based on Tree Kernels for Opinion Mining of Online Product
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Ojala, Markusq Assessing Data Mining Results on Matrices with Randomization
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Ordonez, Carlosq On the Computation of Stochastic Search Variable Selection in Linear Regression
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Park, Sunhoq Bayesian Aggregation of Binary Classifiers
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Peng, Wen-Chihq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical
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Plis, Sergey M.q Permutations as Angular Data: Efficient Inference in Factorial Spaces
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Preux, Philippeq Advertising Campaigns Management: Should We Be Greedy?
Qi, Yanjunq Learning Preferences with Millions of Parameters by Enforcing Sparsity
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Quèré, R.q On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy
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Ramos, Fabioq Improving Kernel Methods through Complex Data Mapping
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Rao, Jinghaiq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
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Rendle, Steffenq Learning Attribute-to-Feature Mappings for Cold-Start Recommendationsq Factorization Machines
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Rzepakowski, Piotrq Decision Trees for Uplift Modeling
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Schmidt-Thieme, Larsq Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
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Seufert, Stephanq Bonsai: Growing Interesting Small Trees
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Shen, Douq Transfer Learning via Cluster Correspondence Inference
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Shi, Baileq Efficient Episode Mining with Minimal and Non-overlapping Occurrences
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Shieh, Jinq iSAX 2.0: Indexing and Mining One Billion Time Seriesq Polishing the Right Apple: Anytime Classification Also Benefits Data Streams
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Slonim, Donnaq Anomaly Detection Using an Ensemble of Feature Models
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Sun, Heliq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree
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Tagarelli, Andreaq Enhancing Single-Objective Projective Clustering Ensemblesq Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain
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Tan, Jianlongq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
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Tang, Jieq Term Filtering with Bounded Errorq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
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Tang, Weiq Supervised Link Prediction Using Multiple Sources
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Tao, Dachengq NESVM: A Fast Gradient Method for Support Vector Machines
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Thuraisingham, Bhavaniq Addressing Concept-Evolution in Concept-Drifting Data Streams
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Bounds
Toivonen, Hannuq Network Simplification with Minimal Loss of Connectivity
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Tong, Hanghangq Rare Category Characterizationq On the Vulnerability of Large Graphs
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Tsang, Ivorq Location and Scatter Matching for Dataset Shift in Text Mining
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Ueda, Naonoriq Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust,
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Vahrenhold, Janq Resilient K-d Trees: K-Means in Space Revisited
van Leeuwen, Matthijsq Subgroup Discovery Meets Bayesian Networks—An Exceptional Model Mining
Approach
Venkatachalam, Aravindq A Graph-Based Approach for Multi-folder Email Classification
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Vinh, Nguyen Xuanq minCEntropy: A Novel Information Theoretic Approach for the Generation
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Vlachos, Michailq Visualizing Graphs Using Minimum Spanning Dendrograms
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Vuokko, Nikoq Testing the Significance of Patterns in Data with Cluster Structure
Wan, Xiaojunq Multi-document Summarization Using Minimum Distortion
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Wang, Chang-Dongq A Conscience On-line Learning Approach for Kernel-Based Clustering
Wang, Chun-Liq Collaborative Learning between Visual Content and Hidden Semantic for Image
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Wang, Dingdingq Weighted Feature Subset Non-negative Matrix Factorization and Its Applications
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Wang, Fanq Stratified Sampling for Data Mining on the Deep Web
Wang, Feiq Learning a Bi-Stochastic Data Similarity Matrix
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Wang, Haoq Causal Discovery from Streaming Features
Wang, Huaq A Pairwise-Systematic Microaggregation for Statistical Disclosure Control
Wang, Jianminq Transfer Learning via Cluster Correspondence Inference
Wang, Jianyongq Personalizing Web Page Recommendation via Collaborative Filtering
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Wang, Keq Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering
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Wang, Pengq Efficient Episode Mining with Minimal and Non-overlapping Occurrences
Wang, Weiq K-AP: Generating Specified K Clusters by Efficient Affinity Propagationq Efficient Episode Mining with Minimal and Non-overlapping Occurrences
Wang, Xiangq Active Spectral Clustering
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Wang, Yanqiq Frequent Instruction Sequential Pattern Mining in Hardware Sample Data
Wang, Zhengq Homotopy Regularization for Boosting
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Wells, Jonathan R.q Multi-dimensional Mass Estimation and Mass-based Clustering
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Weng, Jianshuq What Do People Want in Microblogs? Measuring Interestingness of Hashtags
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Wong, Tak-Lamq Location and Scatter Matching for Dataset Shift in Text Mining
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Wong, Weng-Keenq Modeling Experts and Novices in Citizen Science Data for Species Distribution
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Wu, Junq Collaborative Learning between Visual Content and Hidden Semantic for Image
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Xie, Yanq Max-Clique: A Top-Down Graph-Based Approach to Frequent Pattern Mining
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Xu, Yaboq Anonymizing Temporal Dataq Probabilistic Inference Protection on Anonymized Data
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Yamada, Keijiq Exponential Family Tensor Factorization for Missing-Values Prediction
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Yang, Qingq An Approach Based on Tree Kernels for Opinion Mining of Online Product
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Yin, Jieq Exploiting Local Data Uncertainty to Boost Global Outlier Detectionq SMILE: A Similarity-Based Approach for Multiple Instance Learning
Yu, Hwanjoq Passive Sampling for Regression
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Yu, Junq Modeling Experts and Novices in Citizen Science Data for Species Distribution
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Yu, Kaiq Training Conditional Random Fields Using Transfer Learning for Gesture
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Yu, Kuiq Causal Discovery from Streaming Features
Yu, Leiq A Variance Reduction Framework for Stable Feature Selection
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Yu, Xiaoq Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical
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Zhang, Chunxiaq An Approach Based on Tree Kernels for Opinion Mining of Online Product
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Zhang, Harryq An Extensive Empirical Study on Semi-supervised Learning
Zhang, Liq Scalable Influence Maximization in Social Networks under the Linear Threshold
Model
Zhang, Mingq A Novel Contrast Co-learning Framework for Generating High Quality Training
Data
Zhang, Min-Lingq Exploiting Unlabeled Data to Enhance Ensemble Diversity
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Zhang, Pengq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
Zhang, Xianchaoq Constraint Based Dimension Correlation and Distance Divergence for Clustering
High-Dimensional Dataq Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation
Zhang, Xiangliangq K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Zhang, Yanchunq A Pairwise-Systematic Microaggregation for Statistical Disclosure Control
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Zhang, Yiq Training Conditional Random Fields Using Transfer Learning for Gesture
Recognition
Zhang, Yuanq MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Zhao, Peixiangq gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree
Division or Agglomeration
Zheng, Liq Hierarchical Ensemble Clustering
Zheng, Yalingq Active Learning from Multiple Noisy Labelers with Varied Costs
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Zheng, Zeyuq A Novel Contrast Co-learning Framework for Generating High Quality Training
Data
Zhou, Aoyingq Detecting Blackhole and Volcano Patterns in Directed Networks
Zhou, Fangq Network Simplification with Minimal Loss of Connectivity
Zhou, Hangq Improving Kernel Methods through Complex Data Mapping
Zhou, Lizhuq Personalizing Web Page Recommendation via Collaborative Filtering
and Topic-Aware Markov Model
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Zhou, Tianyiq NESVM: A Fast Gradient Method for Support Vector Machines
Zhou, Yangq Clustering Large Attributed Graphs: An Efficient Incremental Approach
Zhou, Zhi-Huaq Exploiting Unlabeled Data to Enhance Ensemble Diversity
Zhu, Huishengq Efficient Episode Mining with Minimal and Non-overlapping Occurrences
Zhu, Jun-Yongq A Conscience On-line Learning Approach for Kernel-Based Clustering
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Zhu, Qiangq Fast and Flexible Multivariate Time Series Subsequence Searchq Mother Fugger: Mining Historical Manuscripts with Local Color Patches
Zhu, Ruixinq Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation
Zhu, Xingquanq Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
Zhuang, Fuzhenq D-LDA: A Topic Modeling Approach without Constraint Generation
for Semi-defined Classification
Zou, Jiaq Frequent Instruction Sequential Pattern Mining in Hardware Sample Data
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