Data Mining in Public and Private Sectors: Organizational and Government Applications (Google eBook)
Antti Syv'aj'arvi, Jari Stenvall
IGI Global Snippet, 2010 - Computers - 428 pages
The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government Applications explores the manifestation of data mining and how it can be enhanced at various levels of management. This innovative publication provides relevant theoretical frameworks and the latest empirical research findings useful to governmental agencies, practicing managers, and academicians.
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administrative districts algorithm analysis analyzed application approach associated attributes business networks CaRBS CHAID chapter characteristic BOEs classification concept context crude oil crude oil price customer churn data mining data warehouse data-mining databases dataset day care centers decision tree defined employees environment Epstein evaluation example explanatory variables factors Figure Finland forecasting function fuzzy decision IGI Global impact implementation information asymmetry information systems input International Journal knowledge discovery knowledge management loyalty cards machine learning MCDs ment methodologies methods mobile computing naive Bayes classifier network-wide node organization organizational outcomes output patterns performance measurement practice prediction privacy preserving data problem productivity promotion proposed public sector regression tree Retrieved rules Science scoring social specific statistical strategic consensus structure Table Technology tion trends Trgovina University University of Lapland values