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Data Mining and Decision Support : Integration and Collaboration

Author: Dunja Mladenić; Nada Lavrač; Marko Bohanec; Steve Moyle
Publisher: Boston, MA : Springer US, 2003.
Series: International series in engineering and computer science, 745.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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 solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Dunja Mladenić; Nada Lavrač; Marko Bohanec; Steve Moyle
ISBN: 9781461502869 1461502861
OCLC Number: 852789119
Description: 1 online resource (xxiii, 275 pages).
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.
Series Title: International series in engineering and computer science, 745.
Responsibility: edited by Dunja Mladenić, Nada Lavrač, Marko Bohanec, Steve Moyle.

Abstract:

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 solve problems. Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and data warehouses. Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.

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From the reviews:"This multi-authored book reports the findings of a European Commission sponsored project ... . The aim of the project was to bring together the two disciplines, or practices, of Read more...

 
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