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- W2912812074 abstract "This paper considers some difficulties posed by data mining. While the legal implications of data mining have been considered by numerous scholars, this article differs in that it examines issues from a private-sector perspective. Much of the existing literature examines the implications of data mining when used to further state-sponsored surveillance programs. In contrast, this article focuses on several issues concerning data mining that arise in the course of commercial activity. In particular, I examine the issues that arise in the course of commercial data processing, where a data custodian sends data to a data processor. I argue that data mining poses a unique challenge, in that the intermediate work products developed during the data mining process can retain significant amounts of information about the data sets from which they were created, while at the same time eluding restrictions set by digital rights management, copyright and data protection (privacy) law. As a result, data mining may provide a means for data processors to legally obtain copies of confidential business information, as well as personal information. While some of these issues can be addressed by contract, the mechanisms involved are of general applicability, and have important ramifications for privacy and copyright law." @default.
- W2912812074 created "2019-02-21" @default.
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- W2912812074 date "2011-11-15" @default.
- W2912812074 modified "2023-10-16" @default.
- W2912812074 title "A Challenge to Data Protection: the Privacy Implications of Data Mining and Machine Learning Artifacts" @default.
- W2912812074 hasPublicationYear "2011" @default.
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