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books
| book details |
Inductive Databases and Constraint-Based Data Mining
Edited by SaÅ¡o Džeroski, Edited by Bart Goethals, Edited by PanÄe Panov
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normal price: R 4 229.95
Price: R 3 806.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Springer-Verlag New York Inc.
Published date | 13 Nov 2014
Language |
Format | Paperback / softback
Pages | 456
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-4899-8217-9
Readership Age |
BISAC | computers / database management / general
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