Communications of the ACM
The digital physics of data mining
Communications of the ACM
Technology Review
Matching records in a national medical patient index
Communications of the ACM
CrimeNet explorer: a framework for criminal network knowledge discovery
ACM Transactions on Information Systems (TOIS)
Guest Editors' Introduction: Artificial Intelligence for Homeland Security
IEEE Intelligent Systems
Exploring extremism and terrorism on the web: the dark web project
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
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This chapter highlights both the positive and negative aspects of Data Mining (DM). Specifically, the social ethical, and legal implications of DM are examined through recent case law, current public opinion, and small industry-specific examples. There are many issues concerning this topic. Therefore, the purpose of this chapter is to expose the reader to some of the more interesting ones and provide insight into how information systems (IS) professionals and businesses may protect themselves from the negative ramifications associated with improper use of data. The more experience with and exposure to social ethical and legal concerns with respect to DM, the better prepared you will be to prevent trouble down the road.