Logical And Relational Learning From Ilp to Mrdm

This is the first textbook on inductive logic programming (ILP) and multi-relational data mining (MRDM). These subfields of data mining and machine learning are concerned with analyzing structured data that arise in numerous applications, such as bioinformatics, Web mining, natural language processing, etc. The author explains some important techniques in detail by using case studies centered around well-known ILP or MRDM systems. These studies are among the "classics" in the field and they also provide a good starting point for a more general discussion. Related systems and techniques are covered in detailed bibliographies in each chapter. The book addresses graduate students in computer science, databases and artificial intelligence, as well as practitioners of data mining and machine learning.de Raedt, Luc is the author of 'Logical And Relational Learning From Ilp to Mrdm', published 2008 under ISBN 9783540200406 and ISBN 3540200401.