Editore: Morgan Kaufmann 2014-02-19, 2014
ISBN 10: 0124166024 ISBN 13: 9780124166028
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 37,65
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 42,17
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 304 pages. 9.00x6.00x0.75 inches. In Stock.
Editore: Elsevier Science & Technology, 2014
ISBN 10: 0124166024 ISBN 13: 9780124166028
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 48,08
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 529.
Da: preigu, Osnabrück, Germania
EUR 43,35
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Commercial Data Mining | Processing, Analysis and Modeling for Predictive Analytics Projects | David Nettleton | Taschenbuch | Englisch | 2014 | Elsevier Science | EAN 9780124166028 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 43,74
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 51,46
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book.