Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3846584428 ISBN 13: 9783846584422
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 173,65
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846584428 ISBN 13: 9783846584422
Librería: moluna, Greven, Alemania
EUR 64,43
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3846584428 ISBN 13: 9783846584422
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 79,95
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. 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.