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Relational Data Mining

Overview of attention for book
Relational Data Mining
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Mining in a Nutshell
  3. Altmetric Badge
    Chapter 2 Knowledge Discovery in Databases: An Overview
  4. Altmetric Badge
    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
  12. Altmetric Badge
    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
  17. Altmetric Badge
    Chapter 16 Internet Resources on ILP for KDD
Attention for Chapter 10: How to Upgrade Propositional Learners to First Order Logic: A Case Study
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Chapter title
How to Upgrade Propositional Learners to First Order Logic: A Case Study
Chapter number 10
Book title
Relational Data Mining
Published by
Springer, Berlin, Heidelberg, January 2001
DOI 10.1007/978-3-662-04599-2_10
Book ISBNs
978-3-64-207604-6, 978-3-66-204599-2
Authors

Wim Van Laer, Luc De Raedt, Van Laer, Wim, De Raedt, Luc

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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