Inductive Databases and Constraint-Based Data Mining

Sašo Džeroski (Curatore)

Bart Goethals (Curatore)

Springer-Verlag New York Inc., 2010

This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant problems from bioinformatics are presented. Inductive databases (IDBs) represent a database view on data mining and kno- edge discovery. IDBs contain not only data, but also generalizations (patterns and models) valid in the data. In an IDB, ordinary queries can be used to access and - nipulate data, while inductive queries can be used to generate (mine), manipulate, and apply patterns and models. In the IDB framework, patterns and models become ”?rst-class citizens” and KDD becomes an extended querying process in which both the data and the patterns/models that hold in the data are queried.

• Curatore: Sašo Džeroski, Bart Goethals
• Editore: Springer-Verlag New York Inc.
• Anno: 2010
• Rilegatura: Hardback
• Pagine: 456 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781441977373

Testo in English