Cover image for Data mining applications for empowering knowledge societies
Data mining applications for empowering knowledge societies
Title:
Data mining applications for empowering knowledge societies
Author:
Rahman, Hakikur, 1957-
ISBN:
9781599046594
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2009.
Physical Description:
electronic texts (xxii, 332 p. : ill.) : digital files.
Contents:
1. Introduction to data mining techniques via multiple criteria optimization approaches and applications / Yong Shi, Yi Peng, Gang Kou, Zhengxin Chen-- 2. Making decisions with data / Kevin Swingler, David Cairns -- 3. Data mining association rules for making knowledgeable decisions / A.V. Kumar, R. Wahidabanu -- 4. Image mining / Marcelino dos Santos Silva, Gilberto Câmara, Maria Escada -- 5. Machine learning and web mining / Georgios Lappas -- 6. The importance of data within contemporary CRM / Diana Luck -- 7. Mining allocating patterns in investment portfolios / Yanbo Wang, Xinwei Zheng, Frans Coenen -- 8. Application of data mining algorithms for measuring performance impact of social development activities / Hakikur Rahman -- 9. Prospects and scopes of data mining applications in society development activities / Hakikur Rahman -- 10. Business data warehouse / Indranil Bose, Lam Chun, Leung Yue, Li Ines, Wong Helen -- 11. Medical applications of nanotechnology in the research literature / Ronald Kostoff, Raymond Koytcheff, Clifford Lau -- 12. Early warning system for SMEs as a financial risk detector / Ali Koyuncugil -- 13. What role is "business intelligence" playing in developing countries? A picture of Brazilian companies / Maira Petrini, Marlei Pozzebon -- 14. Building an environmental GIS knowledge infrastructure / Inya Nlenanya -- 15. The application of data mining for drought monitoring and prediction / Tsegaye Tadesse, Brian Wardlow, Michael Hayes.
Abstract:
This book presents an overview on the main issues of data mining, including its classification, regression, clustering, and ethical issues. This comprehensive book also provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.
Added Author:
Added Corporate Author:
Holds: Copies: