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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

Taylor & Francis Group

6000 Broken Sound Parkway NW, Suite 300

Boca Raton, FL 33487-2742

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

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

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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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