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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Transcript of Locations and Networks at scale: From insights to predictive models, workshop at IAEA, Vienna,...
Locations and Networks at scale:
From insights to predictive models
Dmytro Karamshuk
Centre of Telecommunications Research
Department of Informatics, King's College London
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.
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
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.
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
Dmytro Karamshuk
Twitter: @karamshuk
“True genius resides in the capacity for evaluation of uncertain, hazardous, and
conflicting information”
#ChurchillQuotes
