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Volumn , Issue , 2010, Pages 1255-1256

Information theory for data management

Author keywords

data anonymization; data integration; database design; entropy; estimation; kl divergence; mutual information

Indexed keywords

DATA ANONYMIZATION; DATA INTEGRATION; DATABASE DESIGN; ENTROPY ESTIMATION; KL-DIVERGENCE; MUTUAL INFORMATIONS;

EID: 77954749966     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1807167.1807337     Document Type: Conference Paper
Times cited : (12)

References (15)
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  • 3
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    • Information-theoretic tools for mining database structure from large data sets
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  • 4
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    • LIMBO: Scalable clustering of categorical data
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  • 5
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    • An information-theoretic approach to normal forms for relational and xml data
    • M. Arenas and L. Libkin. An information-theoretic approach to normal forms for relational and xml data. In PODS, pages 15-26, 2003.
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    • Arenas, M.1    Libkin, L.2
  • 7
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    • A near-optimal algorithm for computing the entropy of a stream
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  • 10
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    • Information dependencies
    • M. M. Dalkilic and E. L. Roberston. Information dependencies. In PODS, pages 245-253, 2000.
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  • 11
    • 1142263341 scopus 로고    scopus 로고
    • Limiting privacy breaches in privacy preserving data mining
    • A. Evfimevski, J. Gehrke, and R. Srikant. Limiting privacy breaches in privacy preserving data mining. In PODS, pages 211-222, 2003.
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  • 12
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    • Privacy preserving mining of association rules
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    • On schema matching with opaque column names and data values
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.