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Relational Data Mining

Overview of attention for book
Cover of 'Relational Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Mining in a Nutshell
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    Chapter 2 Knowledge Discovery in Databases: An Overview
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    Chapter 3 An Introduction to Inductive Logic Programming
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    Chapter 4 Inductive Logic Programming for Knowledge Discovery in Databases
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    Chapter 5 Three Companions for Data Mining in First Order Logic
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    Chapter 6 Inducing Classification and Regression Trees in First Order Logic
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    Chapter 7 Relational Rule Induction with CP rogol 4.4: A Tutorial Introduction
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    Chapter 8 Discovery of Relational Association Rules
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    Chapter 9 Distance Based Approaches to Relational Learning and Clustering
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    Chapter 10 How to Upgrade Propositional Learners to First Order Logic: A Case Study
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    Chapter 11 Propositionalization Approaches to Relational Data Mining
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    Chapter 12 Relational Learning and Boosting
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    Chapter 13 Learning Probabilistic Relational Models
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    Chapter 14 Relational Data Mining Applications: An Overview
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    Chapter 15 Four Suggestions and a Rule Concerning the Application of ILP
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    Chapter 16 Internet Resources on ILP for KDD
Attention for Chapter 9: Distance Based Approaches to Relational Learning and Clustering
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Citations

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Chapter title
Distance Based Approaches to Relational Learning and Clustering
Chapter number 9
Book title
Relational Data Mining
Published by
Springer, Berlin, Heidelberg, January 2001
DOI 10.1007/978-3-662-04599-2_9
Book ISBNs
978-3-64-207604-6, 978-3-66-204599-2
Authors

Mathias Kirsten, Stefan Wrobel, Tamás Horváth, Kirsten, Mathias, Wrobel, Stefan, Horváth, Tamás

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Master 2 20%
Researcher 2 20%
Professor > Associate Professor 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 7 70%
Agricultural and Biological Sciences 1 10%
Physics and Astronomy 1 10%
Unknown 1 10%

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