01198nam a2200217 a 450000100080000000500110000800800410001902000210006010000260008124500800010726001320018730000160031950000560033552004730039165000140086465000140087865000180089265300240091065300270093470000190096110088852020-01-17       2003    bl uuuu     u00u1 u    #d  a0-7695-1978-4/031 aOLIVEIRA, S. R. de M.  aProtecting sensitive knowledge by data sanitization.h[electronic resource]  aIn: IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 3., 2003, Melbourne. Proceedings... Los Alamitos: IEEE Computer Societyc2003  ap. 613-616.  aNa publicação: Stanley R. M. Oliveira. ICDM 2003.  aIn this paper, we address the problem of protecting some sensitive knowledge in transactional databases. The challenge is on protecting actionable knowledge for strategic decisions, but at the same time not losing the great benefit of association rule mining. To accomplish that, we introduce a new, efficient one-scan algorithm that meets privacy protection and accuracy in association rule mining, without putting at risk the effectiveness of the data mining per se.  aDatabases  aKnowledge  aBase de Dados  aProteção de dados  aSanitização de dados1 aZAÏANE, O. R.