CALL FOR WORKSHOP PROPOSALS
http://www.public.asu.edu/~huanliu/pakdd-wk02.html

6th Pacific Asia Conference on Knowledge Discovery & Data Mining
(PAKDD-2002)

Taipei, Taiwan, May 6 - 8, 2002

PAKDD-2002 Conference Committee invites proposals for the Workshop 
Program of the Sixth Pacific Asia Conference on Knowledge Discovery & 
Data Mining (PAKDD-2002). Workshops will be held at the beginning of 
the conference, on May 6, 2002. Workshop participants will have the 
opportunity to meet and discuss issues with a selected focus with
an informal setting for active exchange among researchers, developers 
and users on topics of interest. Submissions are welcome in all areas 
of Knowledge Discovery & Data Mining, both theoretical and applied, 
for PAKDD-2002. Suggested topics for workshops include, but are 
not limited to, the following:

        o Scientific Discovery
        o Data & Knowledge Representation
        o Multi-criteria; Evaluation & Data Mining Metrics
        o Data Mining in E-Business
        o Text Mining
        o Web Mining
        o Metadata, Semantic Web
        o XML for Data Mining
        o Bioinformatics; Data Mining
        o Data & Dimensionality Reduction
        o Preprocessing & Postprocessing Techniques
        o Management & Refinement for the Discovered Knowledge
        o Performance Evaluation of Data Mining Algorithms
        o Security and Privacy Issues in Data Mining

To encourage interaction and exchange of ideas, the workshops will be
kept 
small, with 20-35 participants. Attendance is limited to active
participants only. The format of the workshop presentations will be
determined by the organizers. Organizers are encouraged to leave ample
time for general discussion. Workshops will typically be one full day in
length, although half day proposals will be considered.

Proposal Content

Proposals for workshops should be about 2 pages in length, and should 
contain:
i.   A description of the workshop. Identify the specific issues 
     on which the workshop will focus.
ii.  A brief discussion of why the workshop is of particular interest 
     at this time.
iii. The names and addresses of the organizing committee; 3 to 4 people 
     knowledgeable in the field. Strong proposals include organizers 
     who bring differing perspectives to the workshop topic.
iv.  An indication as to whether the workshop should be considered for 
     a half day or one day meeting.

We welcome proposals that explore the frontiers of KDD research as well
as 
novel application domains. Submissions that link KDD technology to
specific problems in the Pacific Rim are particularly encouraged.

Submissions

Workshop proposals should be submitted as soon as possible but no later 
than Nov. 5, 2001. Organizers will be notified of the committee's
decision 
by Nov. 17, 2001. Workshop organizers will be responsible for: 

 o Producing and distributing a call for papers/participation.
 o Selecting participants. Workshop attendance is by invitation of 
   the organizers.  Selection of attendees will be made by the 
   organizers on the basis of submissions.
 o Workshop organizers will need to provide PAKDD with a list of 
   the participants by April 15, 2002.
 o Coordinating the production and distribution of the workshop notes.

Scheduling the Workshop Activities

PAKDD will provide logistic support, and schedule the meeting dates,
times, and places for the workshops. Workshop organizers will be advised
of the registration fees, which should be included in their call for
participation. PAKDD reserves the right to drop any workshop if there
is  insufficient interest. Workshops are not to be used as a
vehicle for marketing products.

For information about PAKDD-2002, please visit 
     http://arbor.ee.ntu.edu.tw/pakdd02/

Please submit your workshop proposal and address inquiries concerning 
PAKDD workshops to:

Dr. Huan Liu
Department of Computer Science & Engineering
Arizona State University
Tempe, AZ 85287-5406
phone: (480) 727-7349
fax:   (480) 965-2751
email: [EMAIL PROTECTED]

Electronic submissions in ascii, *.pdf, *.ps or *.html formats are
preferred.

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