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INTRODUCTION TO
MACHINE
LEARNING
with
APPLICATIONS
in
INFORMATION
SECURITY
Chapman & Hall/CRC
Machine Learning & Pattern Recognition Series
SERIES EDITORS
Ralf Herbrich
Amazon Development Center
Berlin, Germany
Thore Graepel
Microsoft Research Ltd.
Cambridge, UK
AIMS AND SCOPE
This series reects the latest advances and applications in machine learning and pattern rec-
ognition through the publication of a broad range of reference works, textbooks, and hand-
books. The inclusion of concrete examples, applications, and methods is highly encouraged.
The scope of the series includes, but is not limited to, titles in the areas of machine learning,
pattern recognition, computational intelligence, robotics, computational/statistical learning
theory, natural language processing, computer vision, game AI, game theory, neural networks,
computational neuroscience, and other relevant topics, such as machine learning applied to
bioinformatics or cognitive science, which might be proposed by potential contributors.
PUBLISHED TITLES
BAYESIAN PROGRAMMING
Pierre Bessière, Emmanuel Mazer, Juan-Manuel Ahuactzin, and Kamel Mekhnacha
UTILITY-BASED LEARNING FROM DATA
Craig Friedman and Sven Sandow
HANDBOOK OF NATURAL LANGUAGE PROCESSING, SECOND EDITION
Nitin Indurkhya and Fred J. Damerau
COST-SENSITIVE MACHINE LEARNING
Balaji Krishnapuram, Shipeng Yu, and Bharat Rao
COMPUTATIONAL TRUST MODELS AND MACHINE LEARNING
Xin Liu, Anwitaman Datta, and Ee-Peng Lim
MULTILINEAR SUBSPACE LEARNING: DIMENSIONALITY REDUCTION OF
MULTIDIMENSIONAL DATA
Haiping Lu, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos
MACHINE LEARNING: An Algorithmic Perspective, Second Edition
Stephen Marsland
SPARSE MODELING: THEORY, ALGORITHMS, AND APPLICATIONS
Irina Rish and Genady Ya. Grabarnik
A FIRST COURSE IN MACHINE LEARNING, SECOND EDITION
Simon Rogers and Mark Girolami
INTRODUCTION TO MACHINE LEARNING WITH APPLICATIONS IN
INFORMATION SECURITY
Mark Stamp
Chapman & Hall/CRC
Machine Learning & Pattern Recognition Series
INTRODUCTION TO
MACHINE
LEARNING with
APPLICATIONS
in INFORMATION
SECURITY
Mark Stamp
San Jose State University
California
CRC Press
Taylor & Francis Group
6000 Broken Sound Parkway NW, Suite 300
Boca Raton, FL 33487-2742
© 2018 by Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Printed on acid-free paper
International Standard Book Number-13: 978-1-138-62678-2 (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,
transmitted, 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
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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.
Visit the Taylor & Francis Web site at
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