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Data Mining with R
Learning with Case Studies
Chapman & Hall/CRC
Data Mining and Knowledge Discovery Series
UNDERSTANDING COMPLEX DATASETS:
DATA MINING WITH MATRIX DECOMPOSITIONS
David Skillicorn
COMPUTATIONAL METHODS OF FEATURE
SELECTION
Huan Liu and Hiroshi Motoda
CONSTRAINED CLUSTERING: ADVANCES IN
ALGORITHMS, THEORY, AND APPLICATIONS
Sugato Basu, Ian Davidson, and Kiri L. Wagsta
KNOWLEDGE DISCOVERY FOR
COUNTERTERRORISM AND LAW ENFORCEMENT
David Skillicorn
MULTIMEDIA DATA MINING: A SYSTEMATIC
INTRODUCTION TO CONCEPTS AND THEORY
Zhongfei Zhang and Ruofei Zhang
NEXT GENERATION OF DATA MINING
Hillol Kargupta, Jiawei Han, Philip S. Yu,
Rajeev Motwani, and Vipin Kumar
DATA MINING FOR DESIGN AND MARKETING
Yukio Ohsawa and Katsutoshi Yada
THE TOP TEN ALGORITHMS IN DATA MINING
Xindong Wu and Vipin Kumar
GEOGRAPHIC DATA MINING AND
KNOWLEDGE DISCOVERY, SECOND EDITION
Harvey J. Miller and Jiawei Han
TEXT MINING: CLASSIFICATION, CLUSTERING,
AND APPLICATIONS
Ashok N. Srivastava and Mehran Sahami
BIOLOGICAL DATA MINING
Jake Y. Chen and Stefano Lonardi
INFORMATION DISCOVERY ON ELECTRONIC
HEALTH RECORDS
Vagelis Hristidis
TEMPORAL DATA MINING
Theophano Mitsa
RELATIONAL DATA CLUSTERING: MODELS,
ALGORITHMS, AND APPLICATIONS
Bo Long, Zhongfei Zhang, and Philip S. Yu
KNOWLEDGE DISCOVERY FROM DATA STREAMS
João Gama
STATISTICAL DATA MINING USING SAS
APPLICATIONS, SECOND EDITION
George Fernandez
INTRODUCTION TO PRIVACY-PRESERVING DATA
PUBLISHING: CONCEPTS AND TECHNIQUES
Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu,
and Philip S. Yu
HANDBOOK OF EDUCATIONAL DATA MINING
Cristóbal Romero, Sebastian Ventura,
Mykola Pechenizkiy, and Ryan S.J.d. Baker
DATA MINING WITH R: LEARNING WITH
CASE STUDIES
Luís Torgo
PUBLISHED TITLES
SERIES EDITOR
Vipin Kumar
University of Minnesota
Department of Computer Science and Engineering
Minneapolis, Minnesota, U.S.A
AIMS AND SCOPE
This series aims to capture new developments and applications in data mining and knowledge
discovery, while summarizing the computational tools and techniques useful in data analysis. This
series encourages the integration of mathematical, statistical, and computational methods and
techniques through the publication of a broad range of textbooks, reference works, and hand-
books. The inclusion of concrete examples and applications is highly encouraged. The scope of the
series includes, but is not limited to, titles in the areas of data mining and knowledge discovery
methods and applications, modeling, algorithms, theory and foundations, data and knowledge
visualization, data mining systems and tools, and privacy and security issues.
Chapman & Hall/CRC
Data Mining and Knowledge Discovery Series
Data Mining with R
Luís Torgo
Learning with Case Studies
Chapman & Hall/CRC
Taylor & Francis Group
6000 Broken Sound Parkway NW, Suite 300
Boca Raton, FL 33487-2742
© 2011 by Taylor and Francis Group, LLC
Chapman & Hall/CRC is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Printed in the United States of America on acid-free paper
10 9 8 7 6 5 4 3 2 1
International Standard Book Number: 978-1-4398-1018-7 (Hardback)
This book contains information obtained from authentic and highly regarded sources. Reasonable efforts
have been made to publish reliable data and information, but the author and publisher cannot assume
responsibility for the validity of all materials or the consequences of their use. The authors and publishers
have attempted to trace the copyright holders of all material reproduced in this publication and apologize to
copyright holders if permission to publish in this form has not been obtained. If any copyright material has
not been acknowledged please write and let us know so we may rectify in any future reprint.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmit-
ted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented,
including photocopying, microfilming, and recording, or in any information storage or retrieval system,
without written permission from the publishers.
For permission to photocopy or use material electronically from this work, please access www.copyright.
com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood
Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and
registration for a variety of users. For organizations that have been granted a photocopy license by the CCC,
a separate system of payment has been arranged.
Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used
only for identification and explanation without intent to infringe.
Library of Congress Cataloging-in-Publication Data
Torgo, Luís .
Data mining with R : learning with case studies / Luís Torgo.
p. cm. -- (Chapman & Hall/CRC data mining and knowledge discovery series)
Includes bibliographical references and index.
ISBN 978-1-4398-1018-7 (hardback)
1. Data mining--Case studies. 2. R (Computer program language) I. Title.
QA76.9.D343T67 2010
006.3’12--dc22 2010036935
Visit the Taylor & Francis Web site at
http://www.taylorandfrancis.com
and the CRC Press Web site at
http://www.crcpress.com
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