Scalable High Performance Computing for Knowledge Discovery and Data Mining

✍ Scribed by Mohammed J. Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li, Paul Stolorz (auth.), Paul Stolorz, Ron Musick (eds.)

Publisher: Springer US
Year: 1998
Tongue: English
Leaves: 100
Edition: 1
Category: Library

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✦ Synopsis

Scalable High Performance Computing for Knowledge Discovery and DataMining brings together in one place important contributions and up-to-date research results in this fast moving area.
Scalable High Performance Computing for Knowledge Discovery and DataMining serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

✦ Table of Contents

Front Matter....Pages i-3
Parallel Algorithms for Discovery of Association Rules....Pages 5-35
A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images....Pages 37-52
High Performance OLAP and Data Mining on Parallel Computers....Pages 53-79
Halo World: Tools for Parallel Cluster Finding in Astrophysical N -body Simulations....Pages 81-100

✦ Subjects

Data Structures, Cryptology and Information Theory; Processor Architectures

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