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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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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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- VerlagSpringer
- Erscheinungsdatum2015
- ISBN 10 3662461927
- ISBN 13 9783662461921
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten168
- Kontakt zum HerstellerNicht verfügbar
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Intelligent Knowledge
Verlag:
Springer Berlin Heidelberg, 2015
ISBN 10: 3662461927
ISBN 13: 9783662461921
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Kartoniert / Broschiert. Zustand: 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. Bestandsnummer des Verkäufers 29807425
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Intelligent Knowledge : A Study beyond Data Mining
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783662461921
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Intelligent Knowledge
Verlag:
Springer Berlin Heidelberg Mai 2015, 2015
ISBN 10: 3662461927
ISBN 13: 9783662461921
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783662461921
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Intelligent Knowledge
ISBN 10: 3662461927
ISBN 13: 9783662461921
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch. Bestandsnummer des Verkäufers 9783662461921
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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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