HOME > 상세정보

상세정보

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

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

자료유형
E-Book(소장)
개인저자
Shi, Yong, 1956-.
서명 / 저자사항
Intelligent knowledge [electronic resource] : a study beyond data mining / Yong Shi ... [et al.].
발행사항
Berlin ;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2015.  
형태사항
1 online resource (xvi, 150 p.) : ill. (some col.).
총서사항
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.
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Business. Information technology. Business --Data processing. Business mathematics. Business ethics.
바로가기
URL
000 00000nam u2200205 a 4500
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)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.312 등록번호 E14029261 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

관련분야 신착자료

Baumer, Benjamin (2021)