Driven by application areas ranging from biology to the World Wide Web, research in Data Mining and Machine Learning is nowadays increasingly focusing on the analysis of structured data. Of particular interest is data that consists of interrelated parts or is characterized by collections of objects that are interrelated and linked together into complex graphs and structures. Following in the footsteps of the highly successful MLG workshops in the past, MLG 2008 again will be the premier forum for bringing together different sub-disciplines within Machine Learning and Data Mining that focus on the analysis of structured data. The workshop is actively seeking contributions dealing with all forms of structured data, including but not limited to graphs, trees, sequences, relations and networks. Contributions are invited from all relevant disciplines, such as for example

  • Statistical Relational Learning
  • Inductive Logic Programming
  • Kernel Methods for Structured Data
  • Probabilistic Models for Structured Data
  • Graph Mining
  • (Multi-)relational Data Mining
  • Methods for Structured Outputs
  • Network Analysis

Program committee

Edo Airoldi Princeton, USA
Yasemin Altun Max Planck Institute Tübingen, Germany
Nicos Angelopoulos Edinburgh University, UK
José Balcázar Universitat Politčcnica de Catalunya, Spain
Michael Berthold University of Konstanz, Germany
Hendrik Blockeel Katholieke Universiteit Leuven, Belgium
Francesco Bonchi Yahoo! Research Barcelona, Spain
Christian Borgelt European Center for Soft Computing, Spain
Karsten Borgwardt Cambridge University, UK
Ulf Brefeld TU Berlin, Germany
Yun Chi University of California, Los Angeles, USA
Fabrizio Costa Universitŕ degli Studi di Firenze, Italy
Luc DeRaedt Katholieke Universiteit Leuven, Belgium
Alan Fern Oregon State University, USA
Ingrid Fischer University of Konstanz, Germany
Peter Flach University of Bristol, UK
Susanne Hoche University of Bristol, UK
Thomas Hofmann Google Zurich, Switzerland
Manfred Jaeger Aalborg University, Denmark
George Karypis University of Minnesota, USA
Kristian Kersting CSAIL, MIT, USA
Joost Kok Leiden University, The Netherlands
Risi Kondor Gatsby Unit, UCL, UK
Stefan Kramer Technische Universität München, Germany
Jure Leskovec Carnegie Mellon University, USA
Thorsten Meinl University of Konstanz, Germany
Brian Milch MIT, USA
Mehryar Mohri New York University, USA
Tsuyoshi Murata National Institute of Informatics, Japan
Andrea Passerini Universitŕ degli Studi di Firenze, Italy
Kristiaan Pelckmans Katholieke Universiteit Leuven, Belgium
Tapani Raiko Helsinki University of Technology, Finland
Jan Ramon Katholieke Universiteit Leuven, Belgium
Craig Saunders University of Southampton, UK
Janne Sinkkonen Helsinki University of Technology, Finland
Alessandro Sperduti Universitŕ degli Studi di Padova, Italy
William Stafford-Noble University of Washington, USA
Volker Tresp Siemens, Germany
Koji Tsuda MPI for Biological Cybernetics, Germany
Takeaki Uno National Institute of Informatics, Japan
Jean-Philippe Vert Ecole des Mines de Paris, France
Takashi Washio Osaka University, Japan
Mohammed Zaki Rensselaer Polytechnic Institute, USA
Dengyong Zhou Microsoft Research, USA
Xiaojin Zhu University of Wisconsin-Madison, USA