|
![]() |
|||
|
||||
OverviewScalable High Performance Computing for Knowledge Discovery and Data Mining 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 Data Mining serves as an excellent reference, providing insight into some of the most challenging research issues in the field. Full Product DetailsAuthor: Paul Stolorz , Ron MusickPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of the original 1st ed. 1998 Dimensions: Width: 15.50cm , Height: 0.50cm , Length: 23.50cm Weight: 0.179kg ISBN: 9781461375951ISBN 10: 1461375959 Pages: 100 Publication Date: 24 October 2012 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 ContentsFull Paper Contributors.- Parallel Algorithms for Discovery of Association Rules.- A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images.- High Performance OLAP and Data Mining on Parallel Computers.- Halo World: Tools for Parallel Cluster Finding in Astrophysical N-Body Simulations.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |