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Introduction to data mining and its applications

Introduction to data mining and its applications (Loan 5 times)

Material type
단행본
Personal Author
Sumathi, Sai. Sivanandam, S. N.
Title Statement
Introduction to data mining and its applications / S. Sumathi, S.N. Sivanandam.
Publication, Distribution, etc
Berlin :   Springer ,   2006.  
Physical Medium
xxii, 828 p. : ill. ; 24 cm.
Series Statement
Studies in computational intelligence , 1860-949X ; v. 29
ISBN
3540343504 (hd.bd.)
Bibliography, Etc. Note
Includes bibliographical references.
Subject Added Entry-Topical Term
Data mining. Data warehousing.
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100 1 ▼a Sumathi, Sai.
245 1 0 ▼a Introduction to data mining and its applications / ▼c S. Sumathi, S.N. Sivanandam.
260 ▼a Berlin : ▼b Springer , ▼c 2006.
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.
938 ▼a Otto Harrassowitz ▼b HARR ▼n har060055982 ▼c 139.05 EUR
938 ▼a Baker & Taylor ▼b BKTY ▼c 169.00 ▼d 169.00 ▼i 3540343504 ▼n 0006793941 ▼s active
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Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.312 S955i Accession No. 121135502 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

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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