Rule Induction

Peter Flach; Lavrac N.

Rule Induction

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

Abstract

This chapter provides an overview of two main approaches to classification rule induction: propositional rule learning and relational rule learning. One of our main aims in this chapter is to provide a logical connection between the two, showing how the more advanced setting of relational rule learning can be obtained from the propositional framework.

Translated title of the contribution	Rule Induction
Original language	English
Title of host publication	Intelligent Data Analysis: An Introduction
Publisher	Springer
ISBN (Print)	3540430601
Publication status	Published - 2003

Bibliographical note

Other page information: 229-267
Other identifier: 1000703

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http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=1000703

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Cite this

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abstract = "This chapter provides an overview of two main approaches to classification rule induction: propositional rule learning and relational rule learning. One of our main aims in this chapter is to provide a logical connection between the two, showing how the more advanced setting of relational rule learning can be obtained from the propositional framework. ",

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M3 - Chapter in a book

SN - 3540430601

BT - Intelligent Data Analysis: An Introduction

PB - Springer

ER -