Accepted submissions

Download submissions and reviews (participants only)

Martin Atzmueller, Folke Mitzlaff
Towards Mining Descriptive Community Patterns
Hendrik Blockeel, Tijn Witsenburg
Exploiting Homophily in Unsupervised Learning
Tijl De Bie
An Information Theoretic Framework for Data Mining
Luc De Raedt
From Inductive Querying to Constraint Programming Languages for Data Mining
Tias Guns, Siegfried Nijssen, Luc De Raedt
k-Pattern Set Mining under Constraints
Petra Kralj Novak, Nada Lavrač, Geoff Webb
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining
Petra Kralj Novak, Anže Vavpetič, Igor Trajkovski, Nada Lavrač
Towards Semantic Datamining with g-SEGS
Florian Lemmerich, Martin Atzmueller
Optimistic Estimates for Efficient Subgroup Discovery with Numeric Target Concepts
Michael Mampaey, Nikolaj Tatti, Jilles Vreeken
Tell me what I need to know: succinctly summarizing data with itemsets
Siegfried Nijssen
Supervised Pattern Mining: A Personal Perspective
Arno Siebes, René Kersten
MDL and Lossy Compression
Einoshin Suzuki
Discovering a Partial Decision List for Understanding the Controller of a Reactive Robot
Indrė Žliobaitė, Mykola Pechenizkiy
Learning with Actionable Attributes: Attention – Boundary Cases!

Practical information

For practical information, please have a look at the MPS 2010 pages on the website of the Lorentz Center.