Predictive Clustering - Saso Dzeroski,Jan Struyf,Hendrik Blockeel,Bernard Zenko
-25% koodilla BOOKS
Toimitus 28-34 arkipäivässä
30 päivän palautusoikeus
This book introduces a novel paradigm for machine learning and data mining called predictive clustering, which covers a broad variety of learning tasks and offers a fresh perspective on existing techniques. The book presents an informal introduction to predictive clustering, describing learning tasks and settings, and then continues with a formal description of the paradigm, explaining algorithms for learni ... Täydellinen kuvaus
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Kuvaus
This book introduces a novel paradigm for machine learning and data mining called predictive clustering, which covers a broad variety of learning tasks and offers a fresh perspective on existing techniques. The book presents an informal introduction to predictive clustering, describing learning tasks and settings, and then continues with a formal description of the paradigm, explaining algorithms for learning predictive clustering trees and predictive clustering rules, as well as presenting the applicability of these learning techniques to a broad range of tasks. Variants of decision tree learning algorithms are also introduced. Finally, the book offers several significant applications in ecology and bio-informatics. The book is written in a straightforward and easy-to-understand manner, aimed at varied readership, ranging from researchers with an interest in machine learning techniques to practitioners of data mining technology in the areas of ecology and bioinformatics.
Lisätietoja
| Kirjoittaja | Saso Dzeroski, Jan Struyf, Hendrik Blockeel, Bernard Zenko |
|---|---|
| Julkaisija | Springer New York |
| Julkaisuvuosi | 2025 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9781461411468 |