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Synopsis
This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.
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From the Back Cover
This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.
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Intelligent Knowledge : A Study beyond Data Mining
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Intelligent Knowledge: A Study beyond Data Mining (SpringerBriefs in Business)
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Intelligent Knowledge
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ISBN 10: 3662461927
ISBN 13: 9783662461921
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is mainly about an innovative and fundamental method called 'intelligent knowledge' to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the 'first-order' analytic process, 'second-order' analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines. 168 pp. Englisch. Seller Inventory # 9783662461921
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Intelligent Knowledge : A Study beyond Data Mining
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ISBN 10: 3662461927
ISBN 13: 9783662461921
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is mainly about an innovative and fundamental method called 'intelligent knowledge' to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the 'first-order' analytic process, 'second-order' analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines. Seller Inventory # 9783662461921
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Intelligent Knowledge : A Study Beyond Data Mining
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Intelligent Knowledge: A Study beyond Data Mining (SpringerBriefs in Business)
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Intelligent Knowledge
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A valuable resource for researchers who want to learn how the results of data mining (hidden patterns) can be used to effectively support decision-making Argues that the human knowledge or preferences of end-users should be combined with the resul. Seller Inventory # 29807425
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Intelligent Knowledge : A Study Beyond Data Mining
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Intelligent Knowledge: A Study beyond Data Mining (SpringerBriefs in Business)
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Intelligent Knowledge: A Study beyond Data Mining (SpringerBriefs in Business)
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Condition: New. Series: SpringerBriefs in Business. Num Pages: 150 pages, 23 black & white illustrations, 24 colour illustrations, 18 black & white tables, biograp. BIC Classification: KJMV3; KJQ; UNF. Category: (G) General (US: Trade). Dimension: 163 x 237 x 9. Weight in Grams: 256. . 2015. 2015th Edition. Paperback. . . . . Seller Inventory # V9783662461921
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