CFP

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                 Call for Papers/Participation
                      AAAI-2000 Workshop
         Learning Statistical Models from Relational Data
http://robotics.stanford.edu/srl
                    July 31, 2000, Austin, TX

	        Paper submission deadline: 10 March 2000


Researchers from a variety of backgrounds (including machine learning,
statistics, inductive logic programming, databases, and reasoning
under uncertainty) are beginning to develop techniques to learn
statistical models from relational data.  This work diverges from
traditional approaches in these fields that assume data instances are
structurally identical and statistically independent or assume that
relationships are deterministic.  New developments in this area are
vital because of the growing interest in mining information in
relational databases, object-oriented databases, XML and other
structured and semi-structured formats.  The workshop will focus on
learning models that represent statistical correlations between the
properties of related entities directly from relational data.

Central topics include:

o Methods for learning statistical models from heterogeneous,
  non-independent instances.

o Non-propositional data representations (including relational and
  first-order models).

o Efficient techniques for mining relational and semi-structured data.

o Applications of relational data analysis (e.g., Web mining,
  counter-terrorism, intrusion detection, collaborative filtering,
  bioinformatics).

Format

The workshop will include several invited talks and the presentation of
contributed papers; there will also be time for discussion.

Attendance

The workshop will be limited to 50 invited participants. To participate,
submit either an extended abstract describing research results (see
below) or a short statement (1-2 pages) describing your relevant
background and interests.

Submissions

Authors are invited to submit an extended abstract on the topics
outlined above.  Abstracts should emphasize technical research
results, either in the form of system capabilities or general
findings.  Abstracts should be no longer than 4 pages, and follow the
AAAI style sheet. Electronic submissions, in PostScript or PDF, should
be sent to srl-submit@robotics.stanford.edu. Accepted submissions will
be asked to submit a final version (up to 8 pages) of the paper and
may be asked to give an oral presentation at the workshop.  All papers
will be distributed and included in an AAAI Press technical report.


Dates:

10 March 2000: Submissions due to srl-submit@robotics.stanford.edu
24 March 2000: Notification e-mails sent
26 April 2000: Camera ready papers due
31 July 2000: Workshop takes place


Organizers:

Lise Getoor, Stanford University (getoor@cs.stanford.edu)
David Jensen, University of Massachusetts, Amherst, (jensen@cs.umass.edu)
Daphne Koller, Stanford University (koller@cs.stanford.edu)
Heikki Mannila, Helsinki University/Nokia Research (Heikki.Mannila@hut.fi)
Tom Mitchell, Carnegie Mellon University (Tom.Mitchell@cmu.edu)
Stephen Muggleton, University of York (stephen@cs.york.ac.uk)

Additional Information

http://robotics.stanford.edu/srl
http://www.aaai.org/Conferences/National/2000/aaai-iaai2000.html
email: srl-info@robotics.stanford.edu

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