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Volumn , Issue , 2009, Pages 84-95

Type-based categorization of relational attributes

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; DATA TYPE; DIMENSIONALITY REDUCTION; E-MAIL ADDRESS; OTHER APPLICATIONS; Q-GRAMS; SEMANTIC TYPES; SMALL SAMPLES; SOCIAL SECURITY NUMBERS; VERY LARGE DATUM;

EID: 70349146546     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1516360.1516372     Document Type: Conference Paper
Times cited : (9)

References (26)
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  • 14
    • 17244380794 scopus 로고    scopus 로고
    • Semantic-integration research in the database community
    • A. Doan and A. Y. Halevy. Semantic-integration research in the database community. AI Magazine, 26(l):83-94, 2005.
    • (2005) AI Magazine , vol.26 , Issue.L , pp. 83-94
    • Doan, A.1    Halevy, A.Y.2
  • 15
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • J. C. Dunn. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics, 3:32-57, 1973.
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 18
    • 0013331361 scopus 로고    scopus 로고
    • Real-world data is dirty: Data cleansing and the merge/purge problem
    • M. A. Hernández and S. J. Stolfo. Real-world data is dirty: Data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery, 2(1), 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.1
    • Hernández, M.A.1    Stolfo, S.J.2
  • 21
    • 0001124382 scopus 로고    scopus 로고
    • Semantic and schematic similarities between database objects: A context-based approach
    • V. Kashyap and A. Sheth. Semantic and schematic similarities between database objects: a context-based approach. The VLDB Journal, 5(4):276-304, 1996.
    • (1996) The VLDB Journal , vol.5 , Issue.4 , pp. 276-304
    • Kashyap, V.1    Sheth, A.2
  • 25
    • 33745827787 scopus 로고    scopus 로고
    • Multivariate information bottleneck
    • N. Slonim, N. Friedman, and N. Tishby. Multivariate information bottleneck. Neural Computation, 18(8):1739-1789, 2006.
    • (2006) Neural Computation , vol.18 , Issue.8 , pp. 1739-1789
    • Slonim, N.1    Friedman, N.2    Tishby, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.