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Data Mining and Decision Support

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Cover of 'Data Mining and Decision Support'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Mining
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    Chapter 2 Text and Web Mining
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    Chapter 3 Decision Support
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    Chapter 4 Integration of Data Mining and Decision Support
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    Chapter 5 Collaboration in a Data Mining Virtual Organization
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    Chapter 6 Data Mining Processes and Collaboration Principles
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    Chapter 7 Decision Support for Data Mining
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    Chapter 8 Data Mining for Decision Support
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    Chapter 9 Preprocessing for Data Mining and Decision Support
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    Chapter 10 Data Mining and Decision Support Integration through the Predictive Model Markup Language Standard and Visualization
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    Chapter 11 Analysis of Slovenian Media Space
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    Chapter 12 On the Road to Knowledge
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    Chapter 13 Analysis of a Database of Research Projects Using Text Mining and Link Analysis
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    Chapter 14 Web Site Access Analysis for a National Statistical Agency
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    Chapter 15 Five Decision Support Applications
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    Chapter 16 Large and Tall Buildings
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    Chapter 17 A Combined Data Mining and Decision Support Approach to Educational Planning
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    Chapter 18 Collaborative Data Mining With Ramsys and Sumatra TT
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    Chapter 19 Collaborative Decision Making
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    Chapter 20 Lessons Learned From Data Mining, Decision Support and Collaboration
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    Chapter 21 Internet Support to Collaboration
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    Chapter 22 Mind The Gap
Overall attention for this book and its chapters
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Mentioned by

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2 Wikipedia pages

Citations

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27 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Data Mining and Decision Support
Published by
Springer US, December 2012
DOI 10.1007/978-1-4615-0286-9
ISBNs
978-1-4613-5004-0, 978-1-4615-0286-9
Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 29%
Student > Ph. D. Student 3 21%
Lecturer 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 7 50%
Economics, Econometrics and Finance 1 7%
Earth and Planetary Sciences 1 7%
Social Sciences 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 2 14%