Pattern Mining with Evolutionary Algorithms
This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery pro
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n Mining with Evolutionary Algorithms
Pattern Mining with Evolutionary Algorithms
Sebastián Ventura • José María Luna
Pattern Mining with Evolutionary Algorithms
123
Sebastián Ventura Department of Computer Science and Numerical Analysis University of Cordoba Cordoba, Spain
José María Luna Department of Computer Science and Numerical Analysis University of Cordoba Cordoba, Spain
ISBN 978-3-319-33857-6 ISBN 978-3-319-33858-3 (eBook) DOI 10.1007/978-3-319-33858-3 Library of Congress Control Number: 2016939025 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
–Success is a journey, not a destination. The doing is often more important than the outcome– Arthur Ashe.
To our families.
Preface
This book is intended to provide a general and comprehensible overview of the field of pattern mining with evolutionary algorithms. To do so, the book provides formal definitions about patterns, pattern mining, type of patterns, and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high-dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a hard process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions. The book also provides a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Additionally, this book carries out an analysis of the set of quality measures m
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