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Intelligent knowledgea study beyond ...

Shi, Yong.

Intelligent knowledgea study beyond data mining /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent knowledgeby Yong Shi ... [et al.].
Reminder of title:	a study beyond data mining /
other author:	Shi, Yong.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	xvi, 150 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Non-Profit Enterprises/Corporate Social Responsibility.
Online resource:	http://dx.doi.org/10.1007/978-3-662-46193-8
ISBN:	9783662461938 (electronic bk.)

Intelligent knowledgea study beyond data mining /
Intelligent knowledgea study beyond data mining /[electronic resource] :by Yong Shi ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xvi, 150 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in business,2191-5482. - SpringerBriefs in business..

Dedication -- Preface -- Data Mining and Knowledge Management -- Foundations of Intelligent Knowledge Management -- Intelligent Knowledge and Habitual Domain -- Domain Driven Intelligent Knowledge Discovery -- Knowledge-Incorporated Multiple Criteria Linear Programming Classifiers -- Knowledge Extraction from Support Vector Machines -- Intelligent Knowledge Acquisition and Application in Customer Churn -- Intelligent Knowledge Management in Expert Mining in Traditional Chinese Medicines.

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.

ISBN: 9783662461938 (electronic bk.)

Standard No.: 10.1007/978-3-662-46193-8doiSubjects--Topical Terms:

557965
Non-Profit Enterprises/Corporate Social Responsibility.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Intelligent knowledgea study beyond data mining /
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245 0 0 $a Intelligent knowledge $h [electronic resource] : $b a study beyond data mining / $c by Yong Shi ... [et al.].
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xvi, 150 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in business, $x 2191-5482
505 0 $a Dedication -- Preface -- Data Mining and Knowledge Management -- Foundations of Intelligent Knowledge Management -- Intelligent Knowledge and Habitual Domain -- Domain Driven Intelligent Knowledge Discovery -- Knowledge-Incorporated Multiple Criteria Linear Programming Classifiers -- Knowledge Extraction from Support Vector Machines -- Intelligent Knowledge Acquisition and Application in Customer Churn -- Intelligent Knowledge Management in Expert Mining in Traditional Chinese Medicines.
520 $a 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.
650 2 4 $a Non-Profit Enterprises/Corporate Social Responsibility. $3 557965
650 2 4 $a Business Mathematics. $3 696407
650 0 $a Data mining. $3 184440
650 0 $a Big data. $3 609582
650 1 4 $a Economics/Management Science. $3 273684
650 2 4 $a IT in Business. $3 703717
700 1 $a Shi, Yong. $3 375509
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in business. $3 558493
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