Luc De Raedt: Logical and Relational Learning

Cover: 9783642057489 | Logical and Relational Learning | Luc De Raedt | Taschenbuch | xv

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Beschreibung

Iusethetermlogicalandrelationallearning torefertothesub?eldofarti?cial intelligence,machinelearninganddataminingthatisconcernedwithlearning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all have contributed techniques for learning from data in re- tional form. Even though some early contributions to logical and relational learning are about forty years old now, it was only with the advent of - ductive logic programming in the early 1990s that the ?eld became popular. Whereas initial work was often concerned with logical (or logic programming) issues,thefocushasrapidlychangedtothediscoveryofnewandinterpretable knowledge from structured data, often in the form of rules, and soon imp- tant successes in applications in domains such as bio- and chemo-informatics and computational linguistics were realized. Today, the challenges and opp- tunities of dealing with structured data and knowledge have been taken up by the arti?cial intelligence community at large and form the motivation for a lot of ongoing research. Indeed, graph, network and multi-relational data mining are now popular themes in data mining, and statistical relational learning is receiving a lot of attention in the machine learning and uncertainty in art- cial intelligence communities. In addition, the range of tasks for which logical and relational techniques have been developed now covers almost all machine learning and data mining tasks.

Zusammenfassung

First textbook on multirelational data mining and inductive logic programming

Inhaltsverzeichnis

An Introduction to Logic.- An Introduction to Learning and Search.- Representations for Mining and Learning.- Generality and Logical Entailment.- The Upgrading Story.- Inducing Theories.- Probabilistic Logic Learning.- Kernels and Distances for Structured Data.- Computational Aspects of Logical and Relational Learning.- Lessons Learned.

Erscheinungsjahr:	2010
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Cognitive Technologies
Inhalt:	xv 387 S.
ISBN-13:	9783642057489
ISBN-10:	3642057489
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	De Raedt, Luc
Auflage:	Softcover reprint of hardcover 1st ed. 2008
Hersteller:	Springer-Verlag GmbH Springer Berlin Heidelberg Cognitive Technologies
Maße:	235 x 155 x 22 mm
Von/Mit:	Luc De Raedt
Erscheinungsdatum:	12.02.2010
Gewicht:	0,61 kg

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