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In den WarenkorbPaperback. Zustand: Brand New. 404 pages. 9.25x6.14x1.06 inches. In Stock.
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Verlag: Taylor & Francis Ltd Jan 2024, 2024
ISBN 10: 1138894257 ISBN 13: 9781138894259
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - This book explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to understand and implement. Sharing insights from international KDDM experts, it presents powerful strategies, models, and techniques relevant to the different stages of the KDDM process. The expert contributors discuss useful techniques and approaches for managing the full cycle of knowledge discovery projects to provide readers with a practical understanding of how to implement real-world KDDM projects beyond the single data mining step.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 137,67
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In den WarenkorbHardcover. Zustand: Brand New. 386 pages. 8.00x5.00x1.00 inches. In Stock.
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New.
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Knowledge Discovery Process and Methods to Enhance Organizational Performance | Kweku-Muata Osei-Bryson (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2015 | CRC Press | EAN 9781482212365 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This book explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to understand and implement. Sharing insights from international KDDM experts, it presents powerful strategies, models, and techniques relevant to the different stages of the KDDM process. The expert contributors discuss useful techniques and approaches for managing the full cycle of knowledge discovery projects to provide readers with a practical understanding of how to implement real-world KDDM projects beyond the single data mining step.