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.

Show description

Read Online or Download Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence) PDF

Similar ai & semantics books

Download e-book for iPad: Contextual Computing: Models and Applications (Cognitive by Robert Porzel

Fresh advances within the fields of data illustration, reasoning and human-computer interplay have lead the way for a unique method of treating and dealing with context. the sector of study awarded during this e-book addresses the matter of contextual computing in man made intelligence in line with the cutting-edge in wisdom illustration and human-computer interplay.

Data Intensive Computing for Biodiversity (Studies in by Sarinder K. Dhillon,Amandeep S. Sidhu PDF

This booklet is concentrated at the improvement of a knowledge integration framework for retrieval of biodiversity details from heterogeneous and dispensed info resources. the information integration procedure proposed during this ebook hyperlinks distant databases in a networked setting, helps heterogeneous databases and information codecs, hyperlinks databases hosted on a number of structures, and gives info safety for database proprietors via letting them retain and keep their very own information and to settle on details to be shared and associated.

New PDF release: Innovations in Intelligent Machines-4: Recent Advances in

This study quantity is a continuation of our earlier volumes on clever laptop. it really is divided into 3 components. half I offers with monstrous information and ontologies. It comprises examples relating to the textual content mining, rule mining and ontology. half II is on knowledge-based platforms. It contains context-centered platforms, wisdom discovery, interoperability, consistency and platforms of structures.

New PDF release: Recent Advances in Computational Intelligence in Defense and

This quantity is an initiative undertaken through the IEEE Computational Intelligence Society’s activity strength on protection, Surveillance and security to consolidate and disseminate the function of CI concepts within the layout, improvement and deployment of safeguard and safeguard suggestions. purposes variety from the detection of buried explosive dangers in a battlefield to the keep watch over of unmanned underwater cars, the supply of better video analytics for safeguarding serious infrastructures or the advance of more desirable intrusion detection structures and the layout of army surveillance networks.

Extra info for Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence)

Sample text

Download PDF sample

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


by Daniel
4.3

Rated 4.72 of 5 – based on 46 votes