Rahman H. Data Mining Applications for Empowering Knowledge Societies

IGI Global, 2008. — 332 p. — ISBN: 1599046571, 9781599046570.Data Mining techniques are gradually becoming essential components of corporate intelligence systems and progressively evolving into a pervasive technology within activities that range from the utilization of historical data to predicting the success of an awareness campaign. In reality, data mining is becoming an interdisciplinary field driven by various multi-dimensional applications.
Data Mining Applications for Empowering Knowledge Societies 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.Education and Research
Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications
Making Decisions with Data: Using Computational Intelligence Within a Business Environment
Data Mining Association Rules for Making Knowledgeable Decisions
Tools, Techniques, Methods
Image Mining: Detecting Deforestation Patterns Through Satellites
Machine Learning and Web Mining: Methods and Applications in Societal Benefit Areas
The Importance of Data Within Contemporary CRM
Mining Allocating Patterns in Investment Portfolios
Application of Data Mining Algorithms for Measuring Performance Impact of Social Development Activities
Applications of Data Mining
Prospects and Scopes of Data Mining Applications in Society Development Activities
Business Data Warehouse: The Case of Wal-Mart
Medical Applications of Nanotechnology in the Research Literature
Early Warning System for SMEs as a Financial Risk Detector
What Role is “Business Intelligence” Playing in Developing Countries? A Picture of Brazilian Companies
Building an Environmental GIS Knowledge Infrastructure
The Application of Data Mining for Drought Monitoring and Prediction