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This book provides two general granular computing approaches to
mining relational data, the first of which uses abstract
descriptions of relational objects to build their granular
representation, while the second extends existing granular data
mining solutions to a relational case. Both approaches make it
possible to perform and improve popular data mining tasks such as
classification, clustering, and association discovery. How can
different relational data mining tasks best be unified? How can the
construction process of relational patterns be simplified? How can
richer knowledge from relational data be discovered? All these
questions can be answered in the same way: by mining relational
data in the paradigm of granular computing! This book will allow
readers with previous experience in the field of relational data
mining to discover the many benefits of its granular perspective.
In turn, those readers familiar with the paradigm of granular
computing will find valuable insights on its application to mining
relational data. Lastly, the book offers all readers interested in
computational intelligence in the broader sense the opportunity to
deepen their understanding of the newly emerging field
granular-relational data mining.
This book provides two general granular computing approaches to
mining relational data, the first of which uses abstract
descriptions of relational objects to build their granular
representation, while the second extends existing granular data
mining solutions to a relational case. Both approaches make it
possible to perform and improve popular data mining tasks such as
classification, clustering, and association discovery. How can
different relational data mining tasks best be unified? How can the
construction process of relational patterns be simplified? How can
richer knowledge from relational data be discovered? All these
questions can be answered in the same way: by mining relational
data in the paradigm of granular computing! This book will allow
readers with previous experience in the field of relational data
mining to discover the many benefits of its granular perspective.
In turn, those readers familiar with the paradigm of granular
computing will find valuable insights on its application to mining
relational data. Lastly, the book offers all readers interested in
computational intelligence in the broader sense the opportunity to
deepen their understanding of the newly emerging field
granular-relational data mining.
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