Privacy in Data Mining
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The widespread computerization and, especially, the booming use of Internet have enabled in the last years an unprecedented level of automated data collection. Parallel to this, data mining has emerged as an important discipline providing powerful tools for data analysis. Beyond the positive consequences of higher information accuracy, a negative point is an Orwellian feeling of dwindling privacy for individual persons (or companies, for that matter).
Privacy in administrative, statistical and other databases is about finding tradeoffs between the societal right to know and the individual right to private life. Thus, the passive subject of privacy is the individual citizen or, in business data collection, the individual company.
Statistics: Most national statistical laws contain commitments to respondents' privacy, which are essential to encourage citizens' response;
Philosophy:The ethics of information society...
KeywordsData Mining Association Rule Disclosure Risk Statistical Privacy Automate Data Collection
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