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Granular-Relational Data Mining
Piotr Honko
€ 121.84
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Description for Granular-Relational Data Mining
Hardback. Series: Studies in Computational Intelligence. Num Pages: 123 pages, 4 black & white illustrations, 4 colour tables, biography. BIC Classification: UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 377.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
123
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
123
Place of Publication
Cham, Switzerland
ISBN
9783319527505
SKU
V9783319527505
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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