Abstract—When most people think of ethics or morality, it refers to well-defined standards of right and wrong, usually in terms of rights, obligations, and benefits to society, fairness, or specific virtues. As technology advances, computers continue to have a greater impact on society. The world-wide-web in its current form, linking heterogeneous data from distributed sources, has led to a number of concerns about issues related to privacy, copyright, and intellectual property. The benefits of such a Web are plenty but threats to personal information in such as social networking sites also abound. Privacy is essential for the proper functioning of a liberal, democratic society. Another area where computer ethics play an important part is data mining, where the prolific data generated from various sources, used for identifying patterns. With increasing usage of data mining in the public and private sectors, privacy assumes paramount importance. Sequential pattern mining is commonly defined as finding the complete set of frequent subsequences in a set of sequences, is currently one of the most active areas of research. We provide an overview of privacy preserving association rule as well as in sequential mining, which is one of the rapidly emerging research areas of privacy preservation.
Index Terms—Association rule mining, computer ethics, datamining, sequential pattern mining, privacy preservation.
S. M. Mahajan, principal, Institute of Computer Science, M.E.T, Banda, Mumbai, India (e-mail: sunitam_ics@met.edu).
A. K. Reshamwala, Assistant Professor, Research Scholar, Computer Department, Mukesh Patel School of Technology Management and Engineering, SVKM’s NMIMS University, Mumbai, India (e-mail: alpa.reshamwala@nmims.edu).
Cite: S. M. Mahajan and A. K. Reshamwal, "Data Mining Ethics in Privacy Preservation - A Survey," International Journal of Computer Theory and Engineering vol. 3, no. 4, pp. 529-533, 2011.
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