By Piotr Hońko

This e-book presents basic granular computing methods to mining relational facts, the 1st of which makes use of summary descriptions of relational items to construct their granular illustration, whereas the second one extends current granular information mining suggestions to a relational case.
Both ways give the chance to accomplish and enhance well known information mining projects equivalent to class, clustering, and organization discovery. How can various relational facts mining projects top be unified? How can the development technique of relational styles be simplified? How can richer wisdom from relational info be chanced on? some of these questions may be replied within the related manner: through mining relational information within the paradigm of granular computing!
This ebook will permit readers with past adventure within the box of relational facts mining to find the various advantages of its granular standpoint. In flip, these readers accustomed to the paradigm of granular computing will locate necessary insights on its program to mining relational information. finally, the ebook deals all readers attracted to computational intelligence within the broader experience the chance to deepen their figuring out of the newly rising box granular-relational facts mining.

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Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence) by Piotr Hońko

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