Ebook: Scalable High Performance Computing for Knowledge Discovery and Data Mining
- Tags: Data Structures Cryptology and Information Theory, Processor Architectures
- Year: 1998
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
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
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.
Content:
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
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