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Inductive Databases and Constraint-Based Data Mining (Paperback, 2010 ed.)
Loot Price: R2,842
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Inductive Databases and Constraint-Based Data Mining (Paperback, 2010 ed.)
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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.
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