Scalable 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.
Auflage
Softcover reprint of the original 1st ed. 1998
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 7 mm
Gewicht
ISBN-13
978-1-4613-7595-1 (9781461375951)
DOI
10.1007/978-1-4615-5669-5
Schweitzer Klassifikation
Full 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.
