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Volumn 2316, Issue , 2002, Pages 83-96

Model based disclosure protection

Author keywords

Business microdata; Confidentiality; Performance assessment; Protection models; Regression models

Indexed keywords

COARSENING; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS;

EID: 84949443947     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47804-3_7     Document Type: Conference Paper
Times cited : (8)

References (20)
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    • Dandekar, R., Cohen, M., Kirkendall, N.: Sensitive micro data protection using Latin Hypercube Sampling technique. In: “Inference Control in Statistical Databases”, LNCS 2316, Springer-Verlag (2002), 117–125.
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    • Dandekar, R.1    Cohen, M.2    Kirkendall, N.3
  • 6
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  • 7
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    • Disclosure risk assessment in perturbative microdata protection via record linkage
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    • Winkler, W.E., Yancey, W.E., Creecy, R.H.: Disclosure risk assessment in perturbative microdata protection via record linkage. In: “Inference Control in Statistical Databases”, LNCS 2316, Springer-Verlag (2002), 135–152.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.