Outlier Detection: Techniques and Applications A Data Mining Per
This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an
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N. N. R. Ranga Suri Narasimha Murty M G. Athithan
Outlier Detection: Techniques and Applications A Data Mining Perspective
Intelligent Systems Reference Library Volume 155
Series editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; Faculty of Science and Technology, University of Canberra Canberra, ACT, Australia; Faculty of Science, Liverpool Hope University, Liverpool, UK; KES International, Shoreham-by-Sea, UK e-mail: [email protected]; [email protected]
The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia.
More information about this series at http://www.springer.com/series/8578
N. N. R. Ranga Suri Narasimha Murty M G. Athithan •
Outlier Detection: Techniques and Applications A Data Mining Perspective
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N. N. R. Ranga Suri Centre for Artificial Intelligence and Robotics (CAIR) Bangalore, India
G. Athithan Defence Research and Development Organization (DRDO) New Delhi, India
Narasimha Murty M Department of Computer Science and Automation Indian Institute of Science (IISc) Bangalore, India
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-030-05125-9 ISBN 978-3-030-05127-3 (eBook) https://doi.org/10.1007/978-3-030-05127-3 Library of Congress Control Number: 2018962773 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is conc
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