Call for Papers


Machine Learning Journal Special issue on Mining and Learning with
Graphs and Relations

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. Dealing with such inter-related data is
one of the major research challenges that we are facing. The aim of
this special issue is to bring together papers from different
sub-disciplines within Machine Learning and Data Mining that focus on
the analysis of structured data. We invite high quality submissions from
researchers in all areas of machine learning and data mining working on
"mining and learning with graphs and relations", in particular but not
limited to, the following areas:

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

Application areas of interest are also diverse and include (but not
limited to):

      * Web mining;
      * Bioinformatics;
      * Social networks analysis;
      * Information retrieval;
      * Natural language;
      * Chemoinformatics;
      * Robotics;
      * Communication networks;
      * Transportation networks.

Submission procedure:
====================

Authors are encouraged to submit high-quality, original work that has
neither appeared in, nor is under consideration by, other journals.

Manuscripts should be submitted to:
https://cmt.research.microsoft.com/LMGSI This online system offers easy
and straightforward log-in and submission procedures, and accepts pdf
and doc file formats. It also offers authors the ability to track the
review process of their manuscript.

No special formatting is necessary - should your
paper be accepted for publication, Springer's production team will
convert your editable source files to match the journal style.

Important Dates:

      * Paper Submission Deadline: June 1, 2009.
      * Notification to authors: August 14th, 2009.
      * Revised manuscripts: October 2nd, 2009.

Guest Editors:

S V N Vishwanathan (Purdue University)
Samuel Kaski (Helsinki University of Technology)
Jennifer Neville (Purdue University)
Stefan Wrobel (Fraunhofer Institute for Intelligent Analysis and
Information Systems & University of Bonn)