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| 005 | 20061204152647 | |
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| 016 | 7 | ▼a 979366488 ▼2 GyFmDB |
| 016 | 7 | ▼a 013579837 ▼2 Uk |
| 020 | ▼a 3540343504 (hd.bd.) | |
| 024 | 3 | ▼a 9783540343509 |
| 029 | 0 | ▼a OHX ▼b har060055982 |
| 040 | ▼a OHX ▼c OHX ▼d BAKER ▼d UKM ▼d 211009 | |
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| 082 | 0 4 | ▼a 006.312 ▼2 22 |
| 090 | ▼a 006.312 ▼b S955i | |
| 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 | |
| 945 | ▼a KINS | |
| 994 | ▼a C0 ▼b KUB |
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 |
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.
정보제공 :
