
Inductive Databases and Constraint-Based Data Mining
Kurzinformation



inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
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. von Dzeroski, Saso und Goethals, Bart und Panov, Pane
Produktdetails

So garantieren wir Dir zu jeder Zeit Premiumqualität.
Über den Autor
- Gebunden
- 250 Seiten
- Erschienen 2011
- Springer
- Gebunden
- 302 Seiten
- Erschienen 2008
- Springer
- Gebunden
- 777 Seiten
- Erschienen 2018
- mitp
- Kartoniert
- 352 Seiten
- Erschienen 2021
- mitp Verlags GmbH & Co. KG
- Hardcover
- 320 Seiten
- Erschienen 2006
- John Wiley & Sons Inc
- Kartoniert
- 884 Seiten
- Erschienen 2015
- De Gruyter Oldenbourg
- Kartoniert
- 552 Seiten
- Erschienen 2005
- dpunkt