High Performance Data Mining - Scaling Algorithms, Applications and Systems

High Performance Data Mining: Scaling Algorithms, Applications and Systems 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 and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

List of contents

Editorial.- Parallel Formulations of Decision-Tree Classification Algorithms.- A Fast Parallel Clustering Algorithm for Large Spatial Databases.- Effect of Data Distribution in Parallel Mining of Associations.- Parallel Learning of Belief Networks in Large and Difficult Domains.

Summary

High Performance Data Mining: Scaling Algorithms, Applications and Systems 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 and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Product details

• Authors: Yike Guo
• Assisted by: R. L. Grossman (Editor), R.L. Grossman (Editor), Robert Grossman (Editor), Yik Guo (Editor), Yike Guo (Editor), L Grossman (Editor), L Grossman (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 29.06.2009
• EAN: 9780792377450
• ISBN: 978-0-7923-7745-0
• No. of pages: 106
• Dimensions: 155 mm x 235 mm x 11 mm
• Weight: 339 g
• Illustrations: IV, 106 p.
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT