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Introduction to data mining and its applications

Introduction to data mining and its applications (5회 대출)

자료유형
단행본
개인저자
Sumathi, Sai. Sivanandam, S. N.
서명 / 저자사항
Introduction to data mining and its applications / S. Sumathi, S.N. Sivanandam.
발행사항
Berlin :   Springer ,   2006.  
형태사항
xxii, 828 p. : ill. ; 24 cm.
총서사항
Studies in computational intelligence , 1860-949X ; v. 29
ISBN
3540343504 (hd.bd.)
서지주기
Includes bibliographical references.
일반주제명
Data mining. Data warehousing.
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245 1 0 ▼a Introduction to data mining and its applications / ▼c S. Sumathi, S.N. Sivanandam.
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300 ▼a xxii, 828 p. : ▼b ill. ; ▼c 24 cm.
440 0 ▼a Studies in computational intelligence , ▼x 1860-949X ; ▼v v. 29
504 ▼a Includes bibliographical references.
650 0 ▼a Data mining.
650 0 ▼a Data warehousing.
700 1 ▼a Sivanandam, S. N.
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소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.312 S955i 등록번호 121135502 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

to Data Mining Principles.- Data Warehousing, Data Mining, and OLAP.- Data Marts and Data Warehouse.- Evolution and Scaling of Data Mining Algorithms.- Emerging Trends and Applications of Data Mining.- Data Mining Trends and Knowledge Discovery.- Data Mining Tasks, Techniques, and Applications.- Data Mining: an Introduction - Case Study.- Data Mining & KDD.- Statistical Themes and Lessons for Data Mining.- Theoretical Frameworks for Data Mining.- Major and Privacy Issues in Data Mining and Knowledge Discovery.- Active Data Mining.- Decomposition in Data Mining - A Case Study.- Data Mining System Products and Research Prototypes.- Data Mining in Customer Value and Customer Relationship Management.- Data Mining in Business.- Data Mining in Sales Marketing and Finance.- Banking and Commercial Applications.- Data Mining for Insurance.- Data Mining in Biomedicine and Science.- Text and Web Mining.- Data Mining in Information Analysis and Delivery.- Data Mining in Telecommunications and Control.- Data Mining in Security.


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