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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...

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Bibliographic Details
Other Authors: Mladenic, Dunja (Editor), Lavrač, Nada (Editor), Bohanec, Marko (Editor), Moyle, Steve (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 2003, 2003
Edition:1st ed. 2003
Series:The Springer International Series in Engineering and Computer Science
Subjects:
Image Processing / Digital Techniques
Computer Vision
Artificial Intelligence
Data Structures And Information Theory
Data Mining
Computer Imaging, Vision, Pattern Recognition And Graphics
Information Theory
Data Structures (computer Science)
Data Mining And Knowledge Discovery
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

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