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Discovering events and communities in activity networks

LOCATION: TEL Auditorium 1, Ernst-Reuter-Platz 7, 20th floor

Date/Time: 20.10.2014, 14:15-15:00

SPEAKER: Aristides Gionis (Aalto University, Finland)

ABSTRACT:

With the fast growth of smart devices and social networks, a lot of computing systems collect data that record different types of activities. An important computational challenge is to analyze these data, extract patterns, and understand activity trends. We consider the problem of mining activity networks to identify interesting events, such as a big concert, or a trending keyword in a user community in a social network. Another challenge is the elicitation of communities in interaction networks. Such communities represent groups of individuals who interact with each other in some specific time instances, for example, a group of employees who work on a project and whose interaction intensifies before certain project milestones. 

BIO:

Aristides Gionis is an associate professor at the department of Information and Computer Science in Aalto University, Finland, and the director of the Algorithmic Data Analysis (ADA) programme at the Helsinki Institute for Information Technology (HIIT). Previously he has been a senior research scientist in Yahoo! Research. He received his Ph.D. from the Computer Science department of Stanford University in 2003. He is currently serving as an associate editor in the Transactions of Knowledge and Data Engineering (TKDE). He has served in the PC of numerous premium conferences, including being the PC co-chair for WSDM 2013 and ECML PKDD 2010. His research interests include data mining, web mining, and algorithmic data analysis.

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