The scientific program will consist of contributed and invited
papers in several parallel sessions organized
along the areas plus some invited talks.
Find the program overview here.
Find the full program here.
Find the abstract proceedings here.
Confirmed invited speakers:
Wolfgang GaulAffiliation: University of Karlsruhe, Germany
Where Data Analysis meets Graph Theory (abstract)
Shai Ben-DavidAffiliation: University of Waterloo, Canada
Universal Learning vs. No Free Lunch results - can there be learners that do not require task-specific knowledge?
Joao GamaAffiliation: University of Porto, Portugal
Data Stream Mining for Ubiquitous Environments (abstract)
Alex WeissensteinerAffiliation: Freie Universität Bozen, Italy
Arbitrage-Free Scenario Trees for Financial Optimization (abstract)
Hillol KarguptaAffiliation: UMBC, USA
Connected Cars, Machine-to-Machine Environments, and Distributed Data Mining (abstract)
Michele SebagAffiliation: LRI, France
Autonomous Robotics: Defining Instincts and Learning Systems of Values (abstract)
Thomas SeidlAffiliation: RWTH Aachen, Germany
Stream Data Mining and Anytime Algorithms (abstract)
Dirk Van den PoelAffiliation: University of Gent, Belgium
On the value of incorporating sequential information into predictive analytics
classification models for analytical CRM (abstract)
Katsutoshi YadaAffiliation: University of Kyoto, Japan
Knowledge Discovery in Shopping Path Data (abstract)