2nd International Workshop on Data Science for Social Media and Risk (SoMeRis) @ ICDM 2016 || December 12, 2016 || Barcelona, Spain
www.lix.polytechnique.fr/dascim/someris2016/
Barcelona, Spain – December 12, 2016
In conjunction with: IEEE ICDM 2016
The aim of this workshop is to address state-of-the-art techniques in data science and machine learning to leverage information available in social media, in order to enrich and improve predictive algorithms for risk assessment and management, such as the insurance sector or the online industry. A (non restrictive) list of topics follows:
* Risk Management
– Social media for risk assessment in online industry
– Social media for risk in the insurance sector
– Data science for risk management on industrial data
– The nature of risk in the insurance sector
– Fusion of data sources for risk assessment and management
– Retention optimization and churn analysis
* Social Media
– Graph/Text Mining for social media
– Urban social media analysis and risk
– Dynamics of social networks
– Anomaly and fraud detection in social media
* Privacy
– Privacy in social media
– Fraud detection and prevention
– Sharing economics, social networks and peer-to-peer insurance
– Benchmarks for social media mining and risk
The workshop will host one keynote speakers (Prof. Jie Tang, Tsinghua University), several academic and industrial talks as well as a discussion panel on the importance of data science techniques for social media analysis in risk management in the insurance sector. The objective is to create an interface between academics and practitioners, to exchange and create synergies about challenging problems at the crossing of machine learning on social media and industrial applications that involve risk assessment and management. This topic is particularly relevant and unexplored. The exploitation of such sources of information for risk-based businesses is a relatively recent topic. It requires new developments both on the methodological and technological aspects: from new statistical models that describe accurately the dynamics of social media and information diffusion, to the use of APIs and relevant databases to crawl, structure and exploit data from social media. Needless to stress that the dominant structures in this case are the networks enriched with the textual content of user interactions and histories.
Workshop Organizers
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Michalis Vazirgiannis, Ecole Polytechnique, France
Fragkiskos D. Malliaros, Ecole Polytechnique, France
Stephane Gaiffas, Ecole Polytechnique, France
Programme Committee
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Jordi Casas Roma, Open University of Catalonia, Spain
Magdalini Eirinaki, San Jose State University, USA
Christos Giatsidis, École Polytechnique, France
Bruno Gonçalves, New York University, USA
Argyris Kalogeratos, ENS Cachan, France
Theodoros Lappas, Stevens Institute of Technology, USA
Clement Levallois, EMLYON Business School, France
Michael Mathioudakis, Aalto University, Finland
Kjetil Norvag, Norwegian University of Science and Technology, Norway
Evangelos Papalexakis, Carnegie Mellon University, USA
Jesse Read, Telecom ParisTech, France
Ryan Rossi, Palo Alto Research Center (PARC), USA
Ansaf Salleb-Aouissi, Columbia University, USA
Nikolaos Tziortziotis, École Polytechnique, France
Iraklis Varlamis, Harokopio University of Athens, Greece
Rui Yan, Baidu, China
Keynote Speaker
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Jie Tang, Tsinghua University, China
Important Dates
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– August 26, 2016: Due date for paper submission
– September 15, 2016: Notification of paper acceptance
– September 20, 2016: Camera-ready deadline for accepted papers
– December 12, 2016: Workshop date
Further Information
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http://www.lix.polytechnique.fr/dascim/someris2016/