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Data Mining and Decision Support : Integration and Collaboration / edited by Dunja Mladenić, Nada Lavrač, Marko Bohanec, Steve Moyle.

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
Online Access: Full Text (via Springer)
Main Author: Mladenić, Dunja
Other Authors: Lavrač, Nada, Bohanec, Marko, Moyle, Steve
Format: eBook
Language:English
Published: Boston, MA : Springer US, 2003.
Series:International series in engineering and computer science ; 745.
Subjects:
Computer science.
Data structures (Computer science)
Data mining.
Artificial intelligence.
Computer vision.
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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