KDnuggets : News : 2001 : n02 : item38    (previous | next)

CFP

From: William H. Hsu bhsu@ringil.cis.ksu.edu
Date: Mon, 8 Jan 2001 09:29:57 -0600
Subject: IJCAI-01 Workshop - KDD Enhancement Wrappers
FIRST CALL FOR PARTICIPATION - 30 Dec 2000

IJCAI-2001 Workshop on
Wrappers for Performance Enhancement in
Knowledge Discovery in Databases (KDD)
[workshop code ML-5]

http://www.kddresearch.org/KDD/Workshops/IJCAI-2001/

Saturday, 4 Aug 2001
Seattle, Washington, USA

WORKSHOP DESCRIPTION

The rapidly increasing volume of data collected for decision
support applications in commercial, industrial, medical, and defense
domains has made it a challenge to scale up knowledge discovery in
databases (KDD), the machine learning and knowledge acquisition
component of these applications.  Many techniques currently applied
to KDD admit enhancement through the WRAPPER approach, which uses
empirical performance of inductive learning algorithms as feedback
to optimize parameters of the learning system.

Wrappers include algorithms for performance tuning, especially:
optimization of learning system parameters (HYPERPARAMETERS) such as
learning rates and model priors; control of solution size; and change
of problem representation (or inductive bias optimization).
Strategies for changing the representation of a machine learning
problem include decomposition of learning tasks into more tractable
subproblems; feature construction, or synthesis of more salient or
useful input variables; and feature subset selection, also known as
variable elimination (a form of relevance determination).

This workshop will explore current issues concerning wrapper
technologies for KDD applications.

WORKSHOP AUDIENCE

This workshop is intended for researchers in the area of
machinelearning, including practitioners of knowledge discovery in
databases(KDD) and statistical and computational learning theorists.
Intelligent systems researchers with an interest in high-performance
computation and large-scale, real-world applications of data mining (e.g.,
inference and decision support) will also find this workshop of interest.

CALL FOR PAPERS

We encourage submissions containing original theoretical and
applied concepts in KDD.  Experimental results are also encouraged,
especially on fielded applications, even if they are only preliminary.
We therefore invite two categories of paper submissions: - research
papers - short summaries (including position papers)

For the workshop agenda, submission procedure, and
up-to-date information on the review committee and invited speakers,
please visit the workshop web site:
www.kddresearch.org/KDD/Workshops/IJCAI-2001/

IMPORTANT DATES

Full Papers due:  Friday, 02 Mar 2001
Short Papers due:  Friday, 16 Mar 2001
acceptance notification: Friday, 30 Mar 2001
camera-ready copy due:  Friday, 13 Mar 2001
workshop   Saturday, 04 Aug 2001

ORGANIZING COMMITTEE

    William H. Hsu (primary contact)
    Kansas State University

    Hillol Kargupta
    University of Maryland Baltimore County

    Huan Liu
    Arizona State University

    Nick Street
    The University of Iowa

KDnuggets : News : 2001 : n02 : item38    (previous | next)

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