High Performance Data Mining: Scaling Algorithms, Applications and Systems

✍ Scribed by Yike Guo, Robert Grossman (auth.), Yike Guo, Robert Grossman (eds.)

• Publisher: Springer US
• Year: 2002
• Tongue: English
• Leaves: 108
• Edition: 1
• Category: Library

✦ Synopsis

High Performance Data Mining: Scaling Algorithms, Applications andSystems brings together in one place important contributions and up-to-date research results in this fast moving area.
High Performance Data Mining: Scaling Algorithms, Applications andSystems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

✦ Table of Contents

Editorial....Pages 235-236
Parallel Formulations of Decision-Tree Classification Algorithms....Pages 237-261
A Fast Parallel Clustering Algorithm for Large Spatial Databases....Pages 263-290
Effect of Data Distribution in Parallel Mining of Associations....Pages 291-314
Parallel Learning of Belief Networks in Large and Difficult Domains....Pages 315-339

✦ Subjects

Data Structures, Cryptology and Information Theory; Information Storage and Retrieval; Processor Architectures