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Relational Data Mining

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Cover of 'Relational Data Mining'

Table of Contents

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    Book Overview
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    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 13: Learning Probabilistic Relational Models
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