KDD 2010 Opening Ceremony FINAL

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KDD 2010 Opening Ceremony

R. Bharat Rao & Balaji KrishnapuramGeneral Chairs

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� Welcome� General Chair: R. Bharat Rao� SigKDD Chair: Usama Fayyad

� Awards Presentation� Research Track awards - Andrew Tomkins & Qiang Yang� Best Research Papers – Yehuda Koren� Industry/Govt track awards – Ted Senator & Ying Li� Dissertation awards presentation - Bamshad Mobasher� Service & Innovation Awards - R. Uthurusamy

� Innovation Award Lecture – Prof. Christos Faloutsos� Close of opening ceremony – R. Bharat Rao

Agenda

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Welcome to KDD-2010

55%35%

10%

Academia Industry Government

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Gold Sponsor:

Silver Sponsors:

Bronze Sponsor:

2010 SIGKDD Doctoral Dissertation Awards:

KDD-2010 Industrial / Government Best Paper Awards:

KDD-2010 Best Student Paper Awards:

KDD-2010 Student Travel Awards:

KDD-2010 Google Female Student Grants:

Thank You to our Sponsors !

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What sets KDD apart?

High-quality research program

� 4 parallel Research Tracks� 12 workshops� 12 tutorials� 1 panel

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What sets KDD apart (contd.)

Top international forum for learning how to leverage leading-edge technology for practical applications.

� KDD Cup� Demos, Exhibits� Industrial / Government Track

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KDD highlights continued

� Plenary Invited Talks: 9am-10am� Monday: Qi Lu (Microsoft), “Online Services Division Strategy

Overview”� Tuesday: David Jensen (Univ of Mass), “Computational Social

Science”� Wednesday: Konrad Feldman (Quantcast), “The quantification of

advertising and lessons from building a business based on large scale data mining”

� Data Mining Case Studies session (Mon: 10:30am, 2pm)� 7 invited talks: challenges/success in real-world deployment � Gabor Melli & Brendan Kitts

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Big Thanks to…

Industrial / Government Track Co-Chairs� Ying Li (Microsoft)� Ted Senator (SAIC)Sponsorships Chair : � Karl Rexer (Rexer Analytics)Publicity Co-Chairs : � Prem Melville (IBM)� Mikhail Bilenko (Microsoft)Treasurer : � Nitesh Chawla (University of Notre Dame)Proceedings Chair : � Jieping Ye (ASU)Web Co-Chairs : � Brendan Kitts (Lucid Commerce)� Panos Ipeirotis (Stern/NYU)Tutorials Co-Chairs : � Tina Eliassi-Rad (Lawrence Livermore), � Francoise Soulie Fogelman (KXEN)Workshops Co-Chairs : � Gabor Melli (PredictionWorks)� Irwin King (Chinese Univ of Hong Kong)

Local Arrangements Chair : � Ramani Duraiswami (UMD)Registrations Chair : � Claudia Perlich (Media6Degrees)Posters Co-Chairs : � Diane J. Cook (WSU)� Evgeniy Gabrilovich (Yahoo)Panels Co-Chairs : � Wei Fan (IBM)� Joao Gama (University of Porto)Student Awards Chair : � Murat Dundar (IUPUI)Exhibits and Demos Chairs :� Jennifer Dy (Northeastern)� Parthasarathy Srinivasan (OSU)KDD Cup Chairs : � Alexandru Niculescu-Mizil (IBM)� John Stamper (CMU)Best Paper Awards Co-Chairs : � Charles Elkan (UCSD)� Yehuda Koren (Yahoo)

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And most of all, thanks to…

� SIGKDD Chair: Usama Fayyad (Open Insights)

� Program Chairs: � Andrew Tomkins (Google Inc.)

� Qiang Yang (Hong Kong University of Science and Technology)

� Associate General Chair:� Balaji Krishnapuram (Siemens Healthcare)

� Special thanks to.. � Francisco Miguel Trigueiros (Siemens Healthcare)

Data Mining Trends

Today pervasive in

� Finance� Web� Advertising� Social Networks

� Plus many niche apps

Data Mining Trends

Over the next 10 years� Healthcare

� Energy� Industrial Automation

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� Welcome� General Chair: R. Bharat Rao� SigKDD Chair: Usama Fayyad



Agenda

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� Welcome � General Chair: R. Bharat Rao� SigKDD Chair: Usama Fayyad

� Program Overview� Research Track Overview - Andrew Tomkins & Qiang Yang� Best Research Papers – Yehuda Koren� Industry/Govt track awards – Ted Senator & Ying Li� Dissertation awards presentation - Bamshad Mobasher� Service & Innovation Awards - R. Uthurusamy


Agenda

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ACM KDD 2010 PC Chairs’Summary

Andrew Tomkins and Qiang Yang

Overview

� Two Tracks� Research Track:

�Submitted: 578

�Accepted: 101

� I/G Track�Submitted: 101�Accepted: 20

� Research track:� 283 main PC

members� 45 senior PC

members� 1832 reviews � 577 meta-reviews

� Industrial track:� 49 PC members� 304 reviews

� In all, CMT sent 8530 emails!

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Industry and Government Track

� I/G Track

� Submitted: 101� Accepted: 20

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More on I/G Track at the Business Meeting on

Tuesday.

More on I/G Track at the Business Meeting on

Tuesday.

Research Track Statistics

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Research Track Review Process

� Initial bidding took into account� PC and SPC subject

area keywords� Expertise profiles built

from DBLP paper titles� Manual inspection

� A new author-feedback phase introduced this year� to give authors a voice

on review quality

� Final decision took into account� reviews� author feedback, and � paper rankings

� to remove bias

� 101 papers accepted� 17.4%

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Research Track Submissions by Country and Regions

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Research Track: # of Accepts by Countries and Regions

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Research Track Acceptance rates by countries and regions

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Research Track: 2009/2010 Submission Comparison

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Industry and Government Track

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I/G Track: Paper Submission Statistics

� Top I/G submissions by countries & regions

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I/G Acceptance Rates (aggr. Rate = 20/101=19.8%)

� I/G Acceptance Rates by Countries & Regions

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Country/Region

# Papers submitted

# Papers accepted

Percentage

USA 62 17 27.41%

China 18 2 11.11%

Australia 2 1 50.00%

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Agenda

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Charles Elkan Yehuda Koren

Deepak Agarwal Lars Schmidt-ThiemeBernhard Pfahringer Sunita Sarawagi

Best paper committee

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Selection process

� A set of 13 candidate papers assembled by KDD PCs� SPC nomination for best paper candidacy� High reviewer ranking

� 9 papers were “student papers”

� Best paper committee conducted an extensive review of the candidates� Original reviews/scores were withheld

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Finalists

� Best paper committee reached a short list of seven finalists� Each finalist was voted as suitable to be “best paper” by at least

one committee member� Six (out of seven) finalists were student papers!� Let’s give a honorable mention to the runner-ups!

Honorable mentions

1. Discriminative Topic Modeling based on Manifold Learning. Seungil Huh, and Stephen E. Fienberg

2. Online Multiscale Dynamic Topic Models. Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, and Naonori Ueda

3. Inferring Networks of Diffusion and Influence. Manuel Gomez-Rodriguez, Jure Leskovec, and Andreas Krause

4. A Scalable Two-Stage Approach for a Class of Dimensionality Reduction Techniques. Liang Sun, Betul Ceran, and Jieping Ye

5. Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks. Jianhui Chen, Ji Liu, and Jieping Ye

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Final selection

� Extensive discussions to rank the finalists and select the awardwinners

� Both top two places taken by student papers� No separate “best student paper” award this year!

� But this committee was elected to give two prizes, so two prizes we give...

� Let’s recognize our sponsor

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Best Research Paper: Technical Contribution

“Good combination of theory ideas and

engineering ideas and a solid

evaluation for a very relevant problem”

“addresses a central task that is

specifically a KDD task. Impressive

results on large data”

“can be proved really useful to the community on a wide spectrum of problems”

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Best Research Paper: Technical Contribution

Large Linear Classification When

Data Cannot Fit In Memory

Hsiang-Fu Yu,

Cho-Jui Hsieh,

Kai-Wei Chang,

and Chih-Jen Lin

National Taiwan University

The paper describes linear classification by a block minimization method for data larger than the memory size. Effectiveness is shown through experiments, and also by proving the theoretical convergence of the method.

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Best Research Paper: Innovative Contribution

“Novel task, interesting algorithms,

good experiments”

“a difficult problem and the authors

have made significant progress in

providing a principled framework ”“A pleasure to read”

“A cool application… very novel and well written”

Unanimously liked by all committee members!

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Best Research Paper: Innovative Contribution

Connecting the Dots Between

News Articles

Dafna Shahaf,

and Carlos Guestrin

Carnegie Mellon University

Given two news articles, the paper shows how to automatically link them together through a coherent chain of news articles. For example, it can recover the chain of events starting with the decline of home prices (January 2007), and ending with the ongoing health-care debate.

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� Program Overview� Research Track Overview - Andrew Tomkins & Qiang Yang� Best Research Papers – Yehuda Koren� Industry/Govt track awards – Ted Senator & Ying Li� Dissertation awards presentation - Bamshad Mobasher� Service & Innovation Awards - R. Uthurusamy


Agenda

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Honorable Mention for Best Industry/Government Track Paper

Overlapping Experiment

Infrastructure: More, Better,

Faster Experimentation

Diane TangAshish AgarwalDeirdre O’Brien

Mike MeyerGoogle, Inc.

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Best Industry/Government Track Paper

Optimizing Debt Collections Using

Constrained Reinforcement

Learning

Naoki Abe (IBM T.J. Watson Research Center)Prem Melville (IBM T.J. Watson Research Center)Cezar Pendus (IBM T.J. Watson Research Center)

Chandan K. Reddy (IBM T.J. Watson Research Center)David L. Jensen (IBM T.J. Watson Research Center)

Vince P. Thomas (IBM Corporation)James J. Bennett (IBM Corporation)Gary F. Anderson (IBM Corporation)Brent R. Cooley (IBM Corporation)

Melissa Kowalczyk (State of New York)Mark Domick (State of New York)

Timothy Gardinier (State of New York)

Changes in the Industrial / Government Track

� Emphasizes real deployed KDD applications� Discovery of externally validated useful knowledge� Emerging applications of KDD

� Discussed at Business lunch (Tue)� Details in foreword to the I/G track

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Agenda

Background

� The 3nd annual doctoral dissertation award for SIGKDD� To recognize excellent research contributions by a doctoral

candidate in the field of data mining and knowledge discovery� Nominations limited to one doctoral dissertation per academic unit

� So initial vetting done by departments � 14 nominees after the initial selection process

� 4 selected as finalists by the committee

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Review Criteria

� Relevance to KDD� Significance of contributions� Broader impact to community� Originality� Technical quality� Presentation quality

Winner and Runner-UP

� Winner receives a check for $2,500 from SIGKDD� Winner and runner-up are recognized at KDD conference and have

their dissertations featured on SIGKDD Web site

Co-Sponsor: Machine Learning Journal

� This year, the Dissertation Award was co-sponsored by MLJ, Published by Springer

� “...THE CUTTING EDGE IN AI RESEARCH....� Machine Learning is an international forum for research

on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems. “

� Peter Flach – Editor in Chief

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Award Committee

� Bamshad Mobasher , Chair, DePaul University, USA� Tanya Berger-Wolf , University of Illinois, Chicago � Ming-Syan Chen , National Taiwan University� C. Lee Giles , Pennsylvania State University, USA� Christos Faloutsos , Carnegie Mellon University, USA� Dimitrios Gunopulos , UC Riverside, USA � Ee-Peng Lim , Nanyang Technological University, Singapore � Jennifer Neville , Purdue University � Myra Spiliopoulou , Otto von Guericke University Magdeburg, Germany� Hannu Toivonen , University of Helsinki, Finland� Shusaku Tsumoto , Shimane University, Japan� Jaideep Vaidya , Rutgers University� Xiaoxin Yin , Microsoft

http://www.sigkdd.org/awards_dissertation.php

Winner of the 2010 Award

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“Mining Interesting Subgraphs by

Output Subspace Sampling

Mohammad Al HasanAdvisor: Mohammed Zaki

Rensselaer Polytechnic Institute

2010 Runner Up

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“Making Pattern Mining Useful”

Jilles Vreeken

Advisor: Arno Siebes

Utrecht University

Honorable Mentions

� Qiaozhu Mei� “Contextual Text Mining”� Advisors: Cheng Xiang Zhai, University of Illinois at Urbana-

Champaign

� Pauli Miettinen� “Matrix Decomposition Methods for Data Mining: Computational

Complexity and Algorithms”� Advisor: Heikki Mannila, University of Helsinki

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Agenda

2010 ACM SIGKDD Awards Committee

� Ramasamy Uthurusamy, Chair� Robert Grossman, University of Illinois at Chicago� Jiawei Han, Univ. of Illinois at Urbana-Champaign� Tom Mitchell, Carnegie Mellon University� Gregory Piatetsky-Shapiro, KDnuggets� Raghu Ramakrishnan, Yahoo! Research� Sunita Sarawagi, Indian Institute of Technology� Padhraic Smyth, University of California at Irvine� Ramakrishnan Srikant, Google Research� Xindong Wu, University of Vermont� Mohammed J. Zaki, Rensselaer Polytechnic Institute

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ACM SIGKDD Service Award

ACM SIGKDD Service Award is the highest service awa rd in the field of knowledge discovery and data mining (KDD). It is conferred on one individual or one group for their outstanding professional services and contributions to the KDD field. Services recognized include significant contributio ns to the activities of professional KDD societies and confer ences, leading organizations or projects that contribute technical ly to the field as a whole, furthering education of students, research ers and practitioners of KDD, funding R&D activities of the KDD community, professional volunteer services in disse minating technical information to the field, and contributio ns to society at large through applications of KDD concepts to impro ve global medical care, education, disaster/crisis management , environment, etc.

The award includes a plaque and a check for $2,500

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Previous Service Award Winners

� 2000: Gregory Piatetsky-Shapiro� 2002: Ramasamy Uthurusamy� 2003: Usama M. Fayyad� 2004: Xindong Wu� 2005: The WEKA Team led by Ian Witten and Eibe Frank� 2006: Won Kim� 2007: Robert L. Grossman� 2009: Sunita Sarawagi

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2010 Service Award Winner

Osmar R. Zaïane

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For:� His Significant Service and Contributions to the Gl obal KDD

Community� His direct involvement with SIGKDD in the last deca de� and much more ..

Full citation at SIGKDD.org and KDnuggets News 10:n14http://www.kdd.org/awards_service.php#2010shttp://www.kdnuggets.com/2010/06/f-sigkdd-service-award-winner.html

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About Prof. O. R. Zaïane …(1/2)

� Ph. D. from Simon Fraser University, Canada.� Currently a McCalla and Killam Professor of Computing

Science at the University of Alberta , Canada� Scientific Director, Alberta Ingenuity Centre for M achine

Learning� Secretary-Treasurer of SIGKDD� Editor-in-Chief of SIGKDD Explorations since 2007� Associate Editor of SIGKDD Explorations 2004-2007� Treasurer of newly founded SIGHINF (Health Informat ics)� Steering Committee of IEEE ICDM� Steering Committee of ADMA � Associate Editor of KAIS

� Published over 120 papers

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About Prof. O. R. Zaïane …(2/2)

� Co-Chair SIGKDD-MDM/KDD 2000-2001-2002 � Co-Chair SIGKDD-WebKDD 2002-2003-2004-2009� Proceedings Chair SIGKDD 2002� Publicity Chair SIGKDD 2002-2003� Webmaster SIGKDD 2002-2003� Sponsorship Chair SIAM-SDM 2003� Tutorials Chair PAKDD 2006� Program Co-Chair ADMA 2006� Program Co-Chair IEEE-ICDM 2007� General Co-Chair ADMA 2007� Data Mining Track Co-Chair ACM-SAC 2008-2009-2010� Exhibits and Demos Chair SIGKDD 2009� Vice-Chair IEEE-ICDM 2009-2010� and more …

Served the global data mining community in a wide range of rolesServed the global data mining community in a wide range of roles ::

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ACM SIGKDDACM Special Interest Group on

Knowledge Discovery and Data Mining

presents its

2010Service Award

to

Osmar R. Zaianefor his significant service and contributions to

the global KDD Community

ACM SIGKDD Innovation Award

ACM SIGKDD Innovation Award is the highest award fo r technical excellence in the field of Knowledge Discovery and Data Mining (KDD). It is conferred on one individual or one gro up of collaborators whose outstanding technical innovatio ns in the KDDfield have had a lasting impact in advancing the th eory and practice of the field. The contributions must have significantlyinfluenced the direction of research and developme nt of the field or transferred to practice in significant and innov ative ways and/or enabled the development of commercial systems.

The award includes a plaque and a check for $2,500

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Previous Innovation Award Winners

� 2000: Rakesh Agrawal� 2002: Jerome Friedman� 2003: Heikki Mannila� 2004: Jiawei Han� 2005: Leo Breiman� 2006: Ramakrishnan Srikant� 2007: Usama M. Fayyad� 2008: Raghu Ramakrishnan� 2009: Padhraic Smyth

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2010 Innovation Award Winner

Christos Faloutsos

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For his Seminal Research on …

Graph and multimedia mining, fractals, self-similar ity and power laws; indexing for multimedia and bioinformatics da ta, and data base performance evaluation.

Full citation at SIGKDD.org and KDnuggets News 2010:n14http://www.sigkdd.org/awards_innovation.php#2010ihttp://www.kdnuggets.com/2010/06/f-sigkdd-innovation-award-winner.html

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About Prof. C. Faloutsos

� Ph.D. in CS from University of Toronto, Canada; B.S c. in EE from NTUA, Athens, Greece.

� Professor, Carnegie Mellon Univ., 11 Ph.D. grads� 14 Distinguished Lectures� Author of monograph Searching Multimedia Databases by

Content (Springer)� Board of Directors, SIGKDD (1999-2005)� PC Chair/Co-Chair for SIGMOD’99 and KDD’03� Associate Editor for ACM-TKDD, IEEE-TKDE� Over 30 Tutorials

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Prof. Faloutsos’ Awards

� SIGCOMM’10 Test of Time Award (power laws)� Among 5th most cited papers in 1999 (citeseer)

� VLDB’97 Test of Time Award (R+ trees)� ICDM’06 Research Contributions Award� NSF Presidential Young Investigator Award� 16 Best Paper Awards� 4 Teaching Awards� 5 Patents Awarded, +4 pending

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Uthurusamy-K

ACM SIGKDDACM Special Interest Group on

Knowledge Discovery and Data Mining

presents its

2010Innovation Award

to

Christos Faloutsosfor his seminal contributions to graph and multimedia

mining, fractals, self-similarity and power laws; indexing for multimedia and bioinformatics data, and

database performance evaluation

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Agenda

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Agenda

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Mon, Jul 26, 2010

� Plenary Invited Talks: 9am-10am� Qi Lu (Microsoft), “Online Services Division Strategy Overview”

� Lunch moved to Regency C/D/E/F� Not in Independence as scheduled� Chairs will need to finish sessions on time to allow time for hotel

to rearrange the room � Paper sessions from Independence A are in Regency C/D/E/F

KDD 2010 Opening Ceremony FINAL

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