Locations and Networks at scale: From insights to predictive models, workshop at IAEA, Vienna,...
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Locations and Networks at scale:
From insights to predictive models
Dmytro Karamshuk
Centre of Telecommunications Research
Department of Informatics, King's College London
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Understanding watching patterns of on-
demand TV users
On Factors Affecting the Usage and Adoption of a Nation-wide TV Streaming Service. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM, Hong Kong, 2015.
ISP-friendly Peer-assisted On-demand Streaming of Long Duration Content in BBC iPlayer. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM, Hong Kong, 2015.
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Identifying Geographic Clusters of Scientific Activity
Identifying Geographic Clusters: A Network Approach. R. Catini, D. Karamshuk, O. Penner, M. Riccaboni, Elsevier Journal on Research Policy, 2015.
Japan
Tokyo
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Mining Social Media for Geographic Retail
Analysis
Geo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement. D. Karamshuk, A. Noulas, S. Scellato, V. Nicosia, C. Mascolo, ACM SIGKDD
Conference on Knowledge Discovery and Data Mining (KDD), Chicago, 2013.
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Predicting Pinterest: Automating a distributed human computation. C. Zhong, D. Karamshuk, N. Sastry,
World Wide Web Conference (WWW), Florence, 2015.
Predicting user behavior in Pinterest
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Dmytro Karamshuk
Twitter: @karamshuk
“True genius resides in the capacity for evaluation of uncertain, hazardous, and
conflicting information”
#ChurchillQuotes