Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.
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Paperback. Etat : new. Paperback. Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from data-centered pattern mining to domain driven actionable knowledge discovery for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business. Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781441946355
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from 'data-centered pattern mining' to 'domain driven actionable knowledge discovery' for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business. 324 pp. Englisch. N° de réf. du vendeur 9781441946355
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents knowledge, techniques and case studies to bridge the gap between business expectations and research outputsExplores new research issues in data mining, including trust, organizational and social factorsAddresses recent applications. N° de réf. du vendeur 4174968
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Etat : New. Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The book bridges the gap between business expectations and research outputs. Editor(s): Cao, Longbing; Yu, Philip S.; Zhang, Chengqi; Zhang, Huaifeng. Num Pages: 322 pages, biography. BIC Classification: UF; UNF. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 498. . 2010. 1st ed. Softcover of orig. ed. 2009. Paperback. . . . . N° de réf. du vendeur V9781441946355
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from ¿data-centered pattern mining¿ to ¿domain driven actionable knowledge discovery¿ for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch. N° de réf. du vendeur 9781441946355
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from 'data-centered pattern mining' to 'domain driven actionable knowledge discovery' for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business. N° de réf. du vendeur 9781441946355
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