Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions

Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions

Ephrem Eyob (Virginia State University, USA)
Indexed In: SCOPUS View 1 More Indices
Release Date: January, 2009|Copyright: © 2009 |Pages: 344
DOI: 10.4018/978-1-60566-196-4
ISBN13: 9781605661964|ISBN10: 1605661961|EISBN13: 9781605661971
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agricultural data mining
  • Basic principles of data mining
  • Business collaboration
  • Data mining for automated building of teams
  • Feature selection for web page classification
  • Federal data mining programs
  • Information ethics
  • Information privacy and security for e-CRM
  • Information security effectiveness theory
  • Legal frameworks for data mining and privacy
  • Machine learning techniques for Web page classification
  • Metaphors and models for data mining
  • Privacy in trajectory data
  • Privacy preserving clustering
  • Protection of privacy on the Web
Reviews and Testimonials

The objective of the book is to provide the most comprehensive, in-depth, and recent coverage of information science and technology in data mining and information privacy disciplines. Various privacy problems are addressed in the public debate and the technology discourse.

– Ephrem Eyob, Virginia State University, USA

This book is intended to be of use to researchers in information science and technology and to decision makers.

– Book News Inc. (March 2009)
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Editor/Author Biographies
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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