Metalearning Applications to Data Mining
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,
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Advisory Board: Luigia Carlucci Aiello Franz Baader Wolfgang Bibel Leonard Bolc Craig Boutilier Ron Brachman Bruce G. Buchanan Anthony Cohn Artur d’Avila Garcez Luis Fariñas del Cerro Koichi Furukawa Georg Gottlob Patrick J. Hayes James A. Hendler Anthony Jameson Nick Jennings Aravind K. Joshi Hans Kamp Martin Kay Hiroaki Kitano Robert Kowalski Sarit Kraus Maurizio Lenzerini Hector Levesque John Lloyd
Alan Mackworth Mark Maybury Tom Mitchell Johanna D. Moore Stephen H. Muggleton Bernhard Nebel Sharon Oviatt Luis Pereira Lu Ruqian Stuart Russell Erik Sandewall Luc Steels Oliviero Stock Peter Stone Gerhard Strube Katia Sycara Milind Tambe Hidehiko Tanaka Sebastian Thrun Junichi Tsujii Kurt VanLehn Andrei Voronkov Toby Walsh Bonnie Webber
Pavel Brazdil · Christophe Giraud-Carrier Carlos Soares · Ricardo Vilalta
Metalearning Applications to Data Mining
With 53 Figures and 11 Tables
ABC
Authors:
Managing Editors:
Prof. Pavel Brazdil LIAAD Universidade do Porto Fac. Economia Rua de Ceuta 118-6◦ 4050-190 Porto, Portugal [email protected]
Prof. Dov M . Gabbay Augustus De Morgan Professor of Logic Department of Computer Science King’s College London Strand, London WC2R 2LS, UK
Dr. Christophe Giraud-Carrier Brigham Young University Department of Computer Science Provo, UT 84602, USA [email protected]
Prof. Dr. Jörg Siekmann Forschungsbereich Deduktions- und Multiagentensysteme, DFKI Stuhlsatzenweg 3, Geb. 43 66123 Saarbrücken, Germany
Dr. Carlos Soares LIAAD Universidade do Porto Fac. Economia Rua de Ceuta 118-6◦ 4050-190 Porto, Portugal [email protected] Dr. Ricardo Vilalta University of Houston Department of Computer Science 501 PGH Building Houston, TX 77204-3010, USA [email protected]
ISBN: 978-3-540-73262-4 e-ISBN: 978-3-540-73263-1 DOI: 10.1007/978-3-540-73263-1 Cognitive Technologies ISSN: 1611-2482 Library of Congress Control Number: 2008937821 ACM Computing Classification (1998): I.2.6, H.2.8 c Springer-Verlag Berlin Heidelberg 2009 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: KünkelLopka, Heidelberg Printed on acid-free paper 9 8 7 6 5 4 3 2 1 springer.com
Dedication
Pavel to my wife and lifelong companion, F´ atima.
Christophe to my wife and children.
Carlos to Manela, Quica and Manel.
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