國立虎尾科技大學 |

Intelligent Knowledge = A Study beyond Data Mining /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Knowledge/ by Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li.
Reminder of title:	A Study beyond Data Mining /
Author:	Shi, Yong.
other author:	Zhang, Lingling.
Description:	XVI, 150 p. 47 illus., 24 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Information technology. -
Online resource:	https://doi.org/10.1007/978-3-662-46193-8
ISBN:	9783662461938

Intelligent Knowledge = A Study beyond Data Mining /
Shi, Yong.

Intelligent KnowledgeA Study beyond Data Mining /[electronic resource] :by Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li. - 1st ed. 2015. - XVI, 150 p. 47 illus., 24 illus. in color.online resource. - 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

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

559429
Information technology.

LC Class. No.: HF54.5-54.56

Dewey Class. No.: 650

Intelligent Knowledge = A Study beyond Data Mining /
LDR:03047nam a22004215i 4500 001 967891
003 DE-He213
005 20200919063014.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783662461938 $9 978-3-662-46193-8
024 7 $a 10.1007/978-3-662-46193-8 $2 doi
035 $a 978-3-662-46193-8
050 4 $a HF54.5-54.56
072 7 $a KJQ $2 bicssc
072 7 $a BUS083000 $2 bisacsh
072 7 $a KJQ $2 thema
072 7 $a UF $2 thema
082 0 4 $a 650 $2 23
082 0 4 $a 658.05 $2 23
100 1 $a Shi, Yong. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 786970
245 1 0 $a Intelligent Knowledge $h [electronic resource] : $b A Study beyond Data Mining / $c by Yong Shi, Lingling Zhang, Yingjie Tian, Xingsen Li.
250 $a 1st ed. 2015.
264 1 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a XVI, 150 p. 47 illus., 24 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 0 $a Information technology. $3 559429
650 0 $a Business—Data processing. $3 1253699
650 0 $a Business ethics. $3 555013
650 0 $a Business mathematics. $3 557696
650 1 4 $a IT in Business. $3 1064965
650 2 4 $a Business Ethics. $3 1069082
650 2 4 $a Business Mathematics. $3 1063156
700 1 $a Zhang, Lingling. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1188868
700 1 $a Tian, Yingjie. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1256620
700 1 $a Li, Xingsen. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1263538
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783662461945
776 0 8 $i Printed edition: $z 9783662461921
830 0 $a SpringerBriefs in Business, $x 2191-5482 $3 1254463
856 4 0 $u https://doi.org/10.1007/978-3-662-46193-8
912 $a ZDB-2-SBE
912 $a ZDB-2-SXBM
950 $a Business and Economics (SpringerNature-11643)
950 $a Business and Management (R0) (SpringerNature-43719)