Ethical Data Mining Applications for Socio-Economic Development
Edited by Hakikur Rahman and Isabel Ramos.
Includes a chapter co-authored by College at Brockport faculty member Anthony Scime: Social science data analysis : the ethical imperative.
Organizations that utilize data mining techniques can amass valuable information on clients habits and preferences, behavior patterns, purchase patterns, sales patterns, and stock forecasts. Ethical Data Mining Applications for Socio-Economic Development provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical dilemmas in the information and communications technology sector. The cases and research in this book will benefit scientists, researchers, and practitioners working in the field of data mining, data warehousing, and database management to ensure that data obtained through web-based investigations is properly handled at all organizational levels. This book is part of the Advances in Data Mining and Database Management series collection.
Hershey, PA : Information Science Reference, 2013.
xxi, 335 pages : illustrations ; 25 cm.
Series: Advances in Data Mining and Database Management Series
Databases and Information Systems | Public Affairs, Public Policy and Public Administration
Rahman, Hakikur; Ramos, Isabel; and Scime, Anthony, "Ethical Data Mining Applications for Socio-Economic Development" (2013). Brockport Bookshelf. 333.