Learning in Clausal Logic: A Perspective on Inductive Logic Programming

Peter Flach; Kakas Antonis C.; Lavrac Nada; Sadri Fariba

Learning in Clausal Logic: A Perspective on Inductive Logic Programming

Peter Flach, Kakas Antonis C., Lavrac Nada, Sadri Fariba

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

5 Citations (Scopus)

Abstract

Inductive logic programming is a form of machine learning from examples which employs the representation formalism of clausal logic. The chapter gives an accessible introduction to the main issues in inductive logic programming. In addition, it outlines the main current research directions which have been strongly influenced by recent developments in data mining and challenging real-life applications.

Translated title of the contribution	Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Original language	English
Title of host publication	Computational Logic: Logic Programming and Beyond (Essays in Honour of Robert A. Kowalski)
Publisher	Springer
Volume	LNAI 2407
ISBN (Print)	3540439595
Publication status	Published - 2002

Bibliographical note

Other page information: 437-471
Other identifier: 1000649

Access to Document

http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=1000649

Handle.net

Persistent link

Cite this

@inbook{c8b14aeb04a04a2483f5c23b5b0cac0f,

title = "Learning in Clausal Logic: A Perspective on Inductive Logic Programming",

abstract = "Inductive logic programming is a form of machine learning from examples which employs the representation formalism of clausal logic. The chapter gives an accessible introduction to the main issues in inductive logic programming. In addition, it outlines the main current research directions which have been strongly influenced by recent developments in data mining and challenging real-life applications. ",

author = "Peter Flach and \{Antonis C.\}, Kakas and Lavrac Nada and Sadri Fariba",

note = "Other page information: 437-471 Other identifier: 1000649",

year = "2002",

language = "English",

isbn = "3540439595",

volume = "LNAI 2407",

booktitle = "Computational Logic: Logic Programming and Beyond (Essays in Honour of Robert A. Kowalski)",

publisher = "Springer",

address = "United States",

}

TY - CHAP

T1 - Learning in Clausal Logic: A Perspective on Inductive Logic Programming

AU - Flach, Peter

AU - Antonis C., Kakas

AU - Nada, Lavrac

AU - Fariba, Sadri

N1 - Other page information: 437-471 Other identifier: 1000649

PY - 2002

Y1 - 2002

N2 - Inductive logic programming is a form of machine learning from examples which employs the representation formalism of clausal logic. The chapter gives an accessible introduction to the main issues in inductive logic programming. In addition, it outlines the main current research directions which have been strongly influenced by recent developments in data mining and challenging real-life applications.

AB - Inductive logic programming is a form of machine learning from examples which employs the representation formalism of clausal logic. The chapter gives an accessible introduction to the main issues in inductive logic programming. In addition, it outlines the main current research directions which have been strongly influenced by recent developments in data mining and challenging real-life applications.

M3 - Chapter in a book

SN - 3540439595

VL - LNAI 2407

BT - Computational Logic: Logic Programming and Beyond (Essays in Honour of Robert A. Kowalski)

PB - Springer

ER -

Learning in Clausal Logic: A Perspective on Inductive Logic Programming

Abstract

Bibliographical note

Access to Document

Handle.net

Fingerprint

Cite this