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OverviewHigh 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. Full Product DetailsAuthor: Yike Guo , R.L. GrossmanPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of the original 1st ed. 2002 Dimensions: Width: 15.20cm , Height: 0.60cm , Length: 22.90cm Weight: 0.176kg ISBN: 9781475784152ISBN 10: 1475784155 Pages: 106 Publication Date: 26 April 2013 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsEditorial.- 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |