| ISBN: | 9783319527505 |
| Publication date: | 10th February 2017 |
| Author: | Piotr Honko |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 123 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Artificial intelligence |
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?
Granular-Relational Data Mining features in the following genres: Artificial intelligence
Hardback. Not Available.
Granular-Relational Data Mining was written by Piotr Honko and published by Springer an imprint of Springer International Publishing
Granular-Relational Data Mining has 123 pages
Yes it is part of Studies in Computational Intelligence series