The first textbook ever to cover multi-relational data mining and inductive logic programming, this book fully explores logical and relational learning. Ideal for graduate students and researchers, it also looks at statistical relational learning. Series: Cognitive Technologies. Num Pages: 402 pages, 10 black & white tables, biography. BIC Classification: UM; UN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 25. Weight in Grams: 816. . 2008. 2008th Edition. hardcover. . . . .

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Dati bibliografici

Titolo: Logical and Relational Learning
Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Data di pubblicazione: 2008
Lingua: Inglese
ISBN 10: 3540200401
ISBN 13: 9783540200406
Rilegatura: Rilegato
Condizione: New

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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.

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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.

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