As data mining is one of the most rapidly changing disciplines with new technologies and concepts continually under development, academicians, researchers, and professionals of the discipline need access to the most current information about the concepts, issues, trends, and technologies in this emerging field. Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions serves as a critical source of information related to emerging issues and solutions in data mining and the influence of political and socioeconomic factors. An immense breakthrough, this essential reference provides concise coverage of emerging issues and technological solutions in data mining, and covers problems with applicable laws governing such issues.
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Ephrem Eyob is a professor in the Department of Technology in the Logistics Program at Virginia State University. Prior to that he was professor and chair for the Department of Computer Information Systems, school of business, at the same university. His research interest is in information systems and supply chains areas primarily in Web based functional integration, ERP applications, business intelligence, optimization of supply chain networks, and information technology applications in supply chains. He served as the guest editor for the International Journal of Management and Decision Making, International Journal of Economics Management and Services and edited two books. Currently, he is serving as a member of the editorial board member for six journals. He has published over one hundred refereed articles, book chapters and proceedings in major journals and conferences
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