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Book
Intelligent Knowledge : A Study beyond Data Mining
Authors: --- --- ---
ISBN: 9783662461938 3662461927 9783662461921 3662461935 Year: 2015 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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Abstract

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.


Digital
Intelligent Knowledge : A Study beyond Data Mining
Authors: --- --- ---
ISBN: 9783662461938 9783662461945 9783662461921 Year: 2015 Publisher: Berlin, Heidelberg Springer

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Abstract

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.


Book
Data Science : 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers
Authors: --- --- --- --- --- et al.
ISBN: 9811528101 9811528098 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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Abstract

This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.


Book
Data Science
Authors: --- --- --- --- --- et al.
ISBN: 9789811528101 Year: 2020 Publisher: Singapore Springer Singapore :Imprint: Springer

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Abstract


Digital
Data Science : 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers
Authors: --- --- --- --- --- et al.
ISBN: 9789811528101 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Export citation

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Bookmark

Abstract

This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.

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