Publications

URL: http://www.cs.rpi.edu/~zaki/lspdmbook.html

Edited By:
Zaki, M.J., Rensselaer Polytechnic Institute, Troy, NY, USA
Ho, C.-T., IBM Research Center, San Jose, CA, USA

LARGE-SCALE PARALLEL DATA MINING
2000. VIII, 261 pp.
ISBN 3-540-67194-3
Softcover $39.00 (DM 68)

With the unprecedented growth-rate at which data is being collected
and stored electronically today in almost all fields of human
endeavor, the efficient extraction of useful information from the data
available is becoming an increasing scientific challenge and a massive
economic need. This book presents thoroughly reviewed and revised full
versions of papers presented at a workshop on the topic held during
KDD'99 in San Diego, California, USA in August 1999 complemented by
several invited chapters and a detailed introductory survey in order
to provide complete coverage of the relevant issues. The contributions
presented cover all major tasks in data mining including parallel and
distributed mining frameworks, associations, sequences, clustering,
and classification. All in all, the volume presents the state of the
art in the young and dynamic field of parallel and distributed data
mining methods. It will be a valuable source of reference for
researchers and professionals.

Keywords: Data mining, information extraction, distributed information
systems, parallel databases, internet searching, information
retrieval, search algorithms

Series: Lecture Notes in Computer Science.
LNAI State-of-the-Art Survey, Volume 1759