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Data Mining and Decision Support

Integration and Collaboration

  • Dunja Mladenić
  • Nada Lavrač
  • Marko Bohanec
  • Steve Moyle

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Basic Technologies

    1. Front Matter
      Pages 1-1
    2. Nada Lavrač, Marko Grobelnik
      Pages 3-14
    3. Dunja Mladenić, Marko Grobelnik
      Pages 15-22
    4. Marko Bohanec
      Pages 23-35
    5. Nada Lavrač, Marko Bohanec
      Pages 37-48
    6. Steve Moyle, Jane McKenzie, Alípio Jorge
      Pages 49-62
    7. 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
    2. Peter Flach, Hendrik Blockeel, Cèsar Ferri, José Hernández-Orallo, Jan Struyf
      Pages 81-90
    3. Bojan Cestnik, Nada Lavrač, Peter Flach, Dragan Gamberger, Mihael Kline
      Pages 91-105
    4. Olga Štěpánková, Petr Aubrecht, Zdeněk Kouba, Petr Mikšovský
      Pages 107-117
  4. Applications of Data Mining and Decision Support

    1. Front Matter
      Pages 131-131
    2. Marko Grobelnik, Maja Škrjanc, Darko Zupanič
      Pages 133-141
    3. Peter Flach, Hendrik Blockeel, Thomas Gärtner, Marko Grobelnik, Branko Kavšek, Martin Kejkula et al.
      Pages 143-155
    4. Alípio Jorge, Mário A. Alves, Marko Grobelnik, Dunja Mladenić, Johann Petrak
      Pages 167-176
    5. Marko Bohanec, Vladislav Rajkovič, Bojan Cestnik
      Pages 177-189
    6. Steve Moyle, Marko Bohanec, Eric Osrowski
      Pages 191-202
    7. Silvana Gasar, Marko Bohanec, Vladislav Rajkovič
      Pages 203-212
  5. Collaboration Aspects

    1. Front Matter
      Pages 213-213
    2. Olga Štěpánková, Jiří Kléma, Petr Mikšovský
      Pages 215-225
    3. Tanja Urbančič, Marko Bohanec, Branko Kontić
      Pages 227-236
    4. Dunja Mladenić, Nada Lavrač, Marko Bohanec
      Pages 237-246
    5. Alípio Jorge, Damjan Bojadžiev, Mário Amado Alves, Olga Štěpánková, Dunja Mladenić, Jiří Palouš et al.
      Pages 247-259
    6. Nada Lavrač, Tanja Urbančič
      Pages 261-269
  6. Back Matter
    Pages 271-275

About this book

Introduction

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.

Keywords

data mining data warehouse database decision support system expert system learning machine learning simulation visualization

Editors and affiliations

  • Dunja Mladenić
    • 1
  • Nada Lavrač
    • 2
  • Marko Bohanec
    • 1
  • Steve Moyle
    • 3
  1. 1.Department of Intelligent SystemsJoŽef Stefan InstituteLjubljanaSlovenia
  2. 2.JoŽef Stefan InstituteLjubljanaSlovenia
  3. 3.Oxford University Computing LaboratoryUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-0286-9
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5004-0
  • Online ISBN 978-1-4615-0286-9
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site