Data Mining Applications for Empowering Knowledge SocietiesRahman, Hakikur IGI Global, 31 de jul. 2008 - 356 pàgines 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. |
Continguts
Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications | 1 |
Making Decisions with Data Using Computational Intelligence Within a Business Environment | 26 |
Data Mining Association Rules for Making Knowledgeable Decisions | 43 |
Tools Techniques Methods | 54 |
Image Mining Detecting Deforestation Patterns Through Satellites | 55 |
Machine Learning and Web Mining Methods and Applications in Societal Benefit Areas | 76 |
The Importance of Data Within Contemporary CRM | 96 |
Mining Allocating Patterns in Investment Portfolios | 110 |
Business Data Warehouse The Case of WalMart | 189 |
Medical Applications of Nanotechnology in the Research Literature | 199 |
Early Warning System for SMEs as a Financial Risk Dete | 221 |
What Role is Business Intelligence Playing in Developing Countries? A Picture of Brazilian Companies | 241 |
Building an Environmental GIS Knowledge Infrastructure | 262 |
The Application of Data Mining for Drought Monitoring and Prediction | 280 |
Compilation of References | 292 |
About the Contributors | 325 |
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