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Data Mining and Decision Support

Integration and Collaboration

  • Book
  • © 2003

Overview

Editors:
  1. Dunja Mladenić

    1. Department of Intelligent Systems, JoŽef Stefan Institute, Ljubljana, Slovenia

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  2. Nada Lavrač

    1. JoŽef Stefan Institute, Ljubljana, Slovenia

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  3. Marko Bohanec

    1. Department of Intelligent Systems, JoŽef Stefan Institute, Ljubljana, Slovenia

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    You can also search for this editor in PubMed   Google Scholar

  4. Steve Moyle

    1. Oxford University Computing Laboratory, UK

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 745)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xxiii
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  2. Basic Technologies

    1. Front Matter

      Pages 1-1
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    2. Data Mining

      • Nada Lavrač, Marko Grobelnik
      Pages 3-14

    3. Text and Web Mining

      • Dunja Mladenić, Marko Grobelnik
      Pages 15-22

    4. Decision Support

      • Marko Bohanec
      Pages 23-35

    5. Integration of Data Mining and Decision Support

      • Nada Lavrač, Marko Bohanec
      Pages 37-48

    6. Collaboration in a Data Mining Virtual Organization

      • Steve Moyle, Jane McKenzie, Alípio Jorge
      Pages 49-62

    7. Data Mining Processes and Collaboration Principles

      • Alípio Jorge, Steve Moyle, Hendrik Blockeel, Angi Voß
      Pages 63-78

  3. Integration Aspects of Data Mining and Decision Support

    1. Front Matter

      Pages 79-79
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    2. Decision Support for Data Mining

      • Peter Flach, Hendrik Blockeel, Cèsar Ferri, José Hernández-Orallo, Jan Struyf
      Pages 81-90

    3. Data Mining for Decision Support

      • Bojan Cestnik, Nada Lavrač, Peter Flach, Dragan Gamberger, Mihael Kline
      Pages 91-105

    4. Preprocessing for Data Mining and Decision Support

      • Olga Štěpánková, Petr Aubrecht, Zdeněk Kouba, Petr Mikšovský
      Pages 107-117

    5. Data Mining and Decision Support Integration through the Predictive Model Markup Language Standard and Visualization

      • Dietrich Wettschereck, Alípio Jorge, Steve Moyle
      Pages 119-130

  4. Applications of Data Mining and Decision Support

    1. Front Matter

      Pages 131-131
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    2. Analysis of Slovenian Media Space

      • Marko Grobelnik, Maja Škrjanc, Darko Zupanič
      Pages 133-141

    3. On the Road to Knowledge

      • Peter Flach, Hendrik Blockeel, Thomas Gärtner, Marko Grobelnik, Branko Kavšek, Martin Kejkula et al.
      Pages 143-155

    4. Analysis of a Database of Research Projects Using Text Mining and Link Analysis

      • Marko Grobelnik, Dunja Mladenić
      Pages 157-166

    5. Web Site Access Analysis for a National Statistical Agency

      • Alípio Jorge, Mário A. Alves, Marko Grobelnik, Dunja Mladenić, Johann Petrak
      Pages 167-176

    6. Five Decision Support Applications

      • Marko Bohanec, Vladislav Rajkovič, Bojan Cestnik
      Pages 177-189

    7. Large and Tall Buildings

      • Steve Moyle, Marko Bohanec, Eric Osrowski
      Pages 191-202
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Keywords

About this book

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.

Reviews

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 data mining and decision support … . This book … can be recommended highly, to researchers or practitioners in the information sciences wanting an insight into just what data mining and decision support are really about, and where their potential lies." (David Bawden, JDOC - Journal of Documentation, Vol. 61 (3), 2005)

Editors and Affiliations

  • Department of Intelligent Systems, JoŽef Stefan Institute, Ljubljana, Slovenia

    Dunja Mladenić, Marko Bohanec

  • JoŽef Stefan Institute, Ljubljana, Slovenia

    Nada Lavrač

  • Oxford University Computing Laboratory, UK

    Steve Moyle

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