Taschenbuch. Zustand: Neu. Scalable High Performance Computing for Knowledge Discovery and Data Mining | A Special Issue of Data Mining and Knowledge Discovery Volume 1, No.4 (1997) | Paul Stolorz (u. a.) | Taschenbuch | iv | Englisch | 2012 | Springer | EAN 9781461375951 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1998
ISBN 10: 0792380975 ISBN 13: 9780792380979
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Intends to serve as a reference, providing insight into some of the challenging research issues in the field. Editor(s): Stolorz, Paul; Musick, Ron. Num Pages: 100 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 7. Weight in Grams: 750. . 1998. Reprinted from DATA MINING AND KNOWLEDGE DISCOVER. Hardback. . . . . Books ship from the US and Ireland.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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In den WarenkorbGebunden. Zustand: New. 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 fo.
Buch. Zustand: Neu. Neuware - 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.