theoretical and application-driven research in data mining: graph mining, finding dense subgraphs, mining labeled and temporal networks, network alignment, network inference discovering hidden structure, e.g., hierarchies, information propagation and opinion formation in social networks, team formation. Applications: mining social media, e.g., studying propagation of news and urban informatics, e.g., characterizing city neighborhoods.

1. data mining group
professors
Aristides Gionis
Heikki Mannila
postdoctoral researchers
Michael Mathioudakis
Nikolaj Tatti
FabioVitale
doctoral students
Kiran Garimella
Orestis Kostakis
Eric Malmi
Polina Rozenshtein
Sanja Scepanovic
+ masters students
research.ics.aalto.fi/dmg/

2. data mining group: research agenda
theoretical and application-driven research in data mining
theoretical work focuses on graph mining
finding dense subgraphs
mining labeled and temporal networks
network alignment
network inference
discovering hidden structure, e.g., hierarchies
information propagation and opinion formation in social networks
team formation
applications
mining social media, e.g., studying propagation of news
urban informatics, e.g., characterizing city neighborhoods

3. data mining group: other facts
funding
Academy of Finland, EU H2020,Tekes
typical publication outlets
DMKD,TKDE,WWW, KDD, ICDE, CIKM, ICDM, ICWSM, ECML PKDD
internships by doctoral students
Google,Amazon, LinkedIn, QCRI, Nokia, MPI
recent visitors from
Boston U, MPI, CNR, INRIA, Stockholm U, UL Bruxelles, U of Rome
presence in the media
research.ics.aalto.fi/dmg/media.shtml