Ethical Data Mining Applications for Socio-Economic Development

Nonfiction, Computers, Database Management, General Computing
Cover of the book Ethical Data Mining Applications for Socio-Economic Development by , IGI Global
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Author: ISBN: 9781466640818
Publisher: IGI Global Publication: May 31, 2013
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781466640818
Publisher: IGI Global
Publication: May 31, 2013
Imprint: Information Science Reference
Language: English
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 and best practices, while evaluating 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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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 and best practices, while evaluating 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.

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