Data Mining Applications for Empowering Knowledge Societies, 1st Edition

  • Published By:
  • ISBN-10: 1599046598
  • ISBN-13: 9781599046594
  • Grade Level Range: College Freshman - College Senior
  • 332 Pages | eBook
  • Original Copyright 2008 | Published/Released August 2009
  • This publication's content originally published in print form: 2008

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Presents an overview on the main issues of data mining, including its classification, regression, clustering, and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
Detailed Table of Contents.
1: Education and Research.
2: Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications.
3: Making Decisions with Data: Using Computational Intelligence Within a Business Environment.
4: Data Mining Association Rules for Making Knowledgeable Decisions.
5: Tools, Techniques, Methods.
6: Image Mining: Detecting Deforestation Patterns Through Satellites.
7: Machine Learning and Web Mining: Methods and Applications in Societal Benefit Areas.
8: The Importance of Data Within Contemporary CRM.
9: Mining Allocating Patterns in Investment Portfolios.
10: Application of Data Mining Algorithms for Measuring Performance Impact of Social Development Activities.
11: Applications of Data Mining.
12: Prospects and Scopes of Data Mining Applications in Society Development Activities.
13: Business Data Warehouse: The Case of Wal-Mart.
14: Medical Applications of Nanotechnology in the Research Literature1.
15: Early Warning System for SMEs as a Financial Risk Detector.
16: What Role is “Business Intelligence” Playing in Developing Countries? A Picture of Brazilian Companies.
17: Building an Environmental GIS Knowledge Infrastructure.
18: The Application of Data Mining for Drought Monitoring and Prediction.
Compilation of References.
About the Contributors.