Isbn: 9783846584422 - data mining in management and practice: 1.data mining methodology and application 2.data mining in management strategies 3.implemented data mining (4 resultados)

Taschenbuch. Condición: Neu. Data Mining in Management and Practice | [.] mining methodology and application [.] mining in Management strategies 3.Implemented Data Mining | Neville C. Pradeep | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783846584422 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pradeep Neville C.Neville C Pradeep currently serves as Professor at PSN College of Technology had 5 years of Experience in sales interlinked with HR in Marketing Industry, in diversified sector at various level in Service and Indust. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Leverage the competative advantage of data mining in management with this step by step Data mining in management- The ability to recognize and track patterns within data-provides companies with a powerful competitive advantage. Building Data Mining Application is the one book that bridges this gap.Unique in its breadths, ease of reading,and depth, the book demonstratrates to business users. Beginning with an over view of the current state of data mining tools market. The book progresses to show you how to build and use use for corporation's best advantage. The book focuseses on several business processes, including customer relationship management, Fraud Detection and Management,Corporate Analysis and Risk Management.Real-word business Examples Real time Retail project had been explored to show common business problems encountered by a variety of major industries The authors clear-cutwriting style shows you to 1) Understand where data mining can be used to the greatest benefit 2)Data mining methodology and application in management. 3)Data mining in management for understanding customer. 4)Data mining challenges in retailing and how it is resolved. 5)Implemented Data Mining.…