Logical And Relational Learning: From Ilp to Mrdm

De Raedt, Luc

ISBN 10: 3540200401 / ISBN 13: 9783540200406

Editore: Springer-Verlag New York Inc, 2008

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1st edition. 388 pages. German language. 9.45x6.38x1.02 inches. In Stock.

Codice articolo x-3540200401

Dati bibliografici

• Titolo: Logical And Relational Learning: From Ilp to Mrdm
• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3540200401
• ISBN 13: 9783540200406
• Rilegatura: Hardcover
• Condizione: Brand New
• Peso: 0,82 chilogrammi

Descrizione articolo

Riassunto

This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Dalla quarta di copertina

This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming (ILP), multirelational data mining (MRDM) and (statistical) relational learning (SRL). These subfields of data mining and machine learning are concerned with the analysis of complex and structured data sets that arise in numerous applications, such as bio- and chemoinformatics, network analysis, Web mining, natural language processing, within the rich representations offered by relational databases and computational logic.

The author introduces the machine learning and representational foundations of the field and explains some important techniques in detail by using some of the classic case studies centered around well-known logical and relational systems.

The book is suitable for use in graduate courses and should be of interest to graduate students and researchers in computer science, databases and artificial intelligence, as well as practitioners of data mining and machine learning. It contains numerous figures and exercises, and slides are available for many chapters.