Data Mining and Decision Support Integration and Collaboration
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers...
Other Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer US
2003, 2003
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Edition: | 1st ed. 2003 |
Series: | The Springer International Series in Engineering and Computer Science
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Data Mining
- 2. Text and Web Mining
- 3. Decision Support
- 4. Integration of Data Mining and Decision Support
- 5 Collaboration in a Data Mining Virtual Organization
- 6. Data Mining Processes and Collaboration Principles
- 7. Decision Support for Data Mining: An Introduction to Roc Analysis and Its Applications
- 8. Data Mining for Decision Support: Supportingmarketing Decisions Through Subgroup Discovery
- 9. Preprocessing for Data Mining and Decision Support
- 10 Data Mining and Decision Support Integration Through the Predictive Model Markup Language Standard and Visualization
- 11 Analysis of Slovenian Media Space
- 12 On the Road to Knowledge: Mining 21 Years of UK Traffic Accident Reports
- 13 Analysis of a Database of Research Projects Using Text Mining and Link Analysis
- 14 Web Site Access Analysis for a National Statistical Agency
- 15 Five Decision Support Applications
- 16. Large and Tall Buildings: A Case Study in the Application of Decision Support and Data Mining
- 17 A Combined Data Mining and Decision Support Approach to Educational Planning
- 18 Collaborative Data Mining with Ramsys and Sumatra TT: prediction of Resources for a Health Farm
- 19 Collaborative Decision Making: An Environmental Case Study
- 20 Lessons Learned From Data Mining, Decision Support and Collaboration
- 21. Internet Support to Collaboration: A KnowledgeManagement and Organizational Memory View
- 22. Mind the Gap: Academia-Business Partnership Models and E-Collaboration Lessons Learned