
000 | 02027camuu2200457 a 4500 | |
001 | 000045564157 | |
005 | 20091207144108 | |
008 | 050916s2006 nyua b 001 0 eng c | |
010 | ▼a 2005934034 | |
015 | ▼a GBA573028 ▼2 bnb | |
016 | 7 | ▼a 013282706 ▼2 Uk |
020 | ▼a 0387258868 (hbk. : alk. paper) | |
020 | ▼a 9780387258867 (hbk. : alk. paper) | |
020 | ▼a 0387294896 (ebk.) | |
020 | ▼a 9780387294899 (ebk.) | |
035 | ▼a (OCoLC)ocn61424926 | |
035 | ▼a (OCoLC)61424926 | |
035 | ▼a (CStRLIN)PASGA2997481-B | |
035 | ▼a (PSt) (Sirsi) a2997481 | |
035 | ▼a (KERIS)REF000012761818 | |
040 | ▼a UKM ▼c UKM ▼d BAKER ▼d NIC ▼d UtOrBLW ▼d DLC ▼d 211009 | |
050 | 0 0 | ▼a QA76.9.D343 ▼b V35 2006 |
082 | 0 0 | ▼a 005.74 ▼2 22 |
090 | ▼a 005.74 ▼b V128p | |
100 | 1 | ▼a Vaidya, Jaideep. |
245 | 1 0 | ▼a Privacy preserving data mining / ▼c by Jaideep Vaidya, Chris Clifton, Michael Zhu. |
260 | ▼a New York : ▼b Springer, ▼c c2006. | |
300 | ▼a 120 p. : ▼b ill. ; ▼c 24 cm. | |
490 | 1 | ▼a Advances in information security ; ▼v v. 19 |
504 | ▼a Includes bibliographical references ([115]-120) and index. | |
505 | 0 0 | ▼g 1. ▼t Privacy and data mining -- ▼g 2. ▼t What is privacy? -- ▼g 3. ▼t Solution approaches / problems -- ▼g 4. ▼t Predictive modeling for classification -- ▼g 5. ▼t Predictive modeling for regression -- ▼g 6. ▼t Finding patterns and rules (association rules) -- ▼g 7. ▼t Descriptive modeling (clustering, outlier detection) -- ▼g 8. ▼t Future research - problems remaining. |
650 | 0 | ▼a Data mining. |
650 | 0 | ▼a Data protection. |
650 | 0 | ▼a Database security. |
700 | 1 | ▼a Zhu, Michael. |
700 | 1 | ▼a Clifton, Christopher Wade. |
830 | 0 | ▼a Advances in information security ; ▼v v. 19. |
945 | ▼a KINS |
소장정보
No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
---|---|---|---|---|---|---|---|
No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.74 V128p | 등록번호 121130594 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
No. 2 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.74 V128p | 등록번호 121187176 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Privacy and Data Mining.- What is Privacy?.- Solution Approaches / Problems.- Predictive Modeling for Classification.- Predictive Modeling for Regression.- Finding Patterns and Rules (Association Rules).- Descriptive Modeling (Clustering, Outlier Detection).- Future Research - Problems remaining.
정보제공 :
