Overview

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.
ISBN-13

9781489982179

ISBN-10

1489982175

Weight

1.46 Pounds

Dimensions

6.10 x 1.08 x 9.25 In

List Price

$109.99

Edition

1st Edition

Format

Paperback

Language

English

Pages

xvii, 456 pages

Publisher

Springer

Published On

2014-11-13


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Alibris
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Sparks, NV, USA

Print on demand Trade paperback (US). Glued binding. 456 p. Contains: Unspecified.
$112.98

 Free delivery by: 30 Mar 2026


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