Inductive Databases and Constraint-Based Data Mining
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Inductive Databases and Constraint-Based Data Mining
% SALE
% SALE
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
- Type:
- Book
- Binding:
- Paperback
- Edition:
- 1
- Languages:
-
Original:
English
- Number of Pages:
-
476
- Publisher:
-
Springer
- Publication Date:
-
2014-11-13
- ISBN / EAN:
-
9781489982179
- Weight:
-
715 g
- Dimensions:
-
16/24/3 cm
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