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Published in:
2017 | OriginalPaper | Chapter
10. Conclusions
Author : Piotr Hońko
Published in: Granular-Relational Data Mining
Publisher: Springer International Publishing
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Abstract
This chapter summarizes two general approaches for constructing granular computing frameworks intended to mine relational data. It analyzes the choice of one of the frameworks depending on factors such as data structure and pattern representation. It also shows the contribution of settlement of relational data mining in the paradigm of granular computing.