Noch Fragen? 0800 / 33 82 637

Inductive Databases and Constraint-Based Data Mining

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-1-4419-7738-0 / 978-1441977380 / 9781441977380

Verlag: Springer US

Erscheinungsdatum: 18.11.2010

Seiten: 456

Herausgegeben von Saso Dzeroski, Bart Goethals, Panče Panov

96,29 € inkl. MwSt.
Recommended Retail Price
kostenloser Versand

lieferbar - Lieferzeit 10-15 Werktage

zurück