Metalearning: Applications to Data Mining

byPavel Brazdil, Christophe Giraud Carrier, Carlos Soares

Paperback | November 22, 2010

Metalearning: Applications to Data Mining by Pavel Brazdil
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Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience.

This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves.

The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.

Title:Metalearning: Applications to Data MiningFormat:PaperbackProduct dimensions:176 pages, 9.25 X 6.1 X 0 inShipping dimensions:176 pages, 9.25 X 6.1 X 0 inPublished:November 22, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642092314

ISBN - 13:9783642092312

Appropriate for ages: All ages

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