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Intelligent knowledge [electronic resource] : a study beyond data mining

Intelligent knowledge [electronic resource] : a study beyond data mining

Material type
E-Book(소장)
Personal Author
Shi, Yong, 1956-.
Title Statement
Intelligent knowledge [electronic resource] : a study beyond data mining / Yong Shi ... [et al.].
Publication, Distribution, etc
Berlin ;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2015.  
Physical Medium
1 online resource (xvi, 150 p.) : ill. (some col.).
Series Statement
SpringerBriefs in business,2191-5482
ISBN
9783662461938
요약
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Business. Information technology. Business --Data processing. Business mathematics. Business ethics.
Short cut
URL
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001 000046039432
005 20200806155447
006 m d
007 cr
008 200728s2015 gw a ob 001 0 eng d
020 ▼a 9783662461938
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QA76.9.D343
082 0 4 ▼a 006.312 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312
245 0 0 ▼a Intelligent knowledge ▼h [electronic resource] : ▼b a study beyond data mining / ▼c Yong Shi ... [et al.].
260 ▼a Berlin ; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xvi, 150 p.) : ▼b ill. (some col.).
490 1 ▼a SpringerBriefs in business, ▼x 2191-5482
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Business.
650 0 ▼a Information technology.
650 0 ▼a Business ▼x Data processing.
650 0 ▼a Business mathematics.
650 0 ▼a Business ethics.
700 1 ▼a Shi, Yong, ▼d 1956-.
830 0 ▼a SpringerBriefs in business, ▼x 2191-5482.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-662-46193-8
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.312 Accession No. E14029261 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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