[Computational-biology] CFP - Data Mining with Constraints Workshop - Colocated at KDD 2008

Ian Davidson via comp-bio%40net.bio.net (by ian.n.davidson from gmail.com)
Mon Apr 28 18:58:27 EST 2008


                              Call For Papers
                              ---------------

                        Data Mining with Constraints
        1/2 a day Workshop co-located with KDD 2008, Las Vegas Nevada

                 www.constrained-clustering.org/KDDWS.html

The purpose of data mining is to find novel and actionable patterns in
data. However, in many domains there already exists considerable domain

knowledge and the chance of finding patterns consistent with and novel
with respect to this knowledge is small unless the algorithm is informed
of it. The area of data mining with constraints codifies domain  expertise

and knowledge in the form of constraints and modifies the aim of data
mining  to find patterns that satisfy these constraints.

This idea has actively been explored in the context of association rules,
clustering and   classification, with many papers being published in

machine learning and data mining conferences. Tutorials been given on the
topic at ECML/PKDD 2002, IEEE ICDM 2005 and KDD 2006, and several
workshops have been held on the topic of constraint-based mining and
inductive databases (cMILE 2007, KDID 2002-2006) next to the ECML/PKDD

conference.

This workshop has two aims:

1) Bring together people in different areas of data mining that make use
of constraints, including people from the constrained clustering and
inductive databases/queries communities

2) Actively explore the foundations and future of the area.

A dinner or lunch will be organized to continue the discussion after the
workshop.

We invite papers describing novel research dealing with the use of

constraints in data mining and related areas of interest, including but
not limited to

. Association rule mining with constraints
. Clustering with constraints
. Inductive databases and queries
. Learning distance metrics from constraints

. Learning predictive models with constraints

In particular, we encourage the submission of well written position papers,
and thought-provoking papers that would stimulate a discussion on the future
of the field.

Submissions should be made in the KDD 2008 paper format to both PC-chairs.
If you are considering submitting to the workshop and need further
information, please do not hesitate to contact the PC chairs.


Key Dates:

Submission:          05/27/08
Acceptance:          06/16/08
Camera Ready Copies: 06/20/08
Workshop Date:             08/24/08

PC Chairs - Ian Davidson (davidson from cs.ucdavis.edu
<https://webmail.cs.ucdavis.edu/src/compose.php?send_to=davidson%40cs.ucdavis.edu>)
and

            Saso Dzeroski (Saso.Dzeroski from ijs.si
<https://webmail.cs.ucdavis.edu/src/compose.php?send_to=Saso.Dzeroski%40ijs.si>)

Please go to www.constrained-clustering.org/KDDWS.html for details.


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