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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: moluna, Greven, Deutschland
EUR 73,77
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 404 pages. 9.25x6.14x1.06 inches. In Stock.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Taylor & Francis Ltd Jan 2024, 2024
ISBN 10: 1138894257 ISBN 13: 9781138894259
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 146,83
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 386 pages. 8.00x5.00x1.00 inches. In Stock.
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New.
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.