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Predictive Clustering
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Predictive Clustering (Hardback)

£66.99
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Synopsis

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.

Computing & ITComputer scienceArtificial intelligenceMachine learningComputing & ITDatabasesData miningScience & MathematicsMathematicsProbability & statistics Publisher: Springer-Verlag New York Inc. Publication Date: 20/10/2011 ISBN-13: 9781461411468  Details: Type: Hardback Format: Books
Availability: Currently unavailable to order online.  

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