KDnuggets : News : 2000 : n14 : item26    (previous | next)

CFP

From: Mohammed Zaki zaki@badr.cs.rpi.edu
Date: Fri, 7 Jul 2000 15:26:20 -0400
Subject: CFP: 4th Intl Workshop on Parallel and Distributed Data Mining, 2001
WORKSHOP CHAIRS:
Mohammed J. Zaki, Rensselaer Polytechnic Institute (zaki@cs.rpi.edu)
Vipin Kumar, University of Minnesota (kumar@cs.umn.edu)
David Skillicorn, Queens University, Canada (skill@cs.queensu.ca)

URL: http://www.cs.rpi.edu/~zaki/PDDM01/

WORKSHOP HISTORY: This is the 4th workshop on this theme held annually
in conjunction with the IPDPS conference. The first three workshops
went under the name "High Performance Data Mining," and were held at
Orlando ( HPDM'98), San Juan ( HPDM'99) and Cancun ( HPDM'00). In
keeping with the growing popularity and international scope of this
field, this workshop has been renamed "International Workshop on
Parallel and Distributed Data Mining".  This year we hope to attract
even more high quality papers, and look forward to increased
participation from both academia and industry.

DESCRIPTION: As the volume of data increases, it is clear that both
parallel and distributed data mining techniques are required to make
the whole knowledge discovery process scalable and interactive. This
workshop will target papers on high performance parallel and
distributed methods, as well as mining on distributed and
heterogeneous datasets.  Topics of interest include:
* Efficient, scalable, disk-based, parallel and distributed algorithms
  for large-scale data mining tasks.
* New algorithms for common data mining methods such as association
  rules, sequences, classification, clustering, deviation detection, etc.
* Pre-processing and post-processing operations like sampling, feature
  selection, data reduction and transformation, rule grouping and
  pruning, etc.
* Incremental, exploratory and interactive mining
* Meta-mining, coping with distributed and/or heterogeneous datasets.
* Integration of mining with parallel/distributed databases and
  datawarehouses.
* Mining non-traditional datasets, such as large scientific databases.
* Frameworks for KDD systems, and parallel or distributed mining.
* Agent based approaches for PDDM.
* Applications of PDDM in business, science, engineering, medicine,
  and other disciplines.
* Theoretical foundation of PDDM.

IMPORTANT DATES:
NOVEMBER 15, 2000: Submissions Due
January 5, 2001: Acceptance Notification
January 22:Camera Ready Copy Due

See the workshop URL for submission information and additional details.


KDnuggets : News : 2000 : n14 : item26    (previous | next)

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