Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow
Detecting anomalies in streaming data is an important issue in a variety of real-word applications as it provides some critical information, e.g., Cyber security attacks, Fraud detection or others real-time applications. Different approaches have been des
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Osvaldo Gervasi · Beniamino Murgante · Sanjay Misra · Chiara Garau · Ivan Blecˇ ic´ · David Taniar · Bernady O. Apduhan · Ana Maria A. C. Rocha · Eufemia Tarantino · Carmelo Maria Torre · Yeliz Karaca (Eds.)
Computational Science and Its Applications – ICCSA 2020 20th International Conference Cagliari, Italy, July 1–4, 2020 Proceedings, Part IV
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7407
Osvaldo Gervasi Beniamino Murgante Sanjay Misra Chiara Garau Ivan Blečić David Taniar Bernady O. Apduhan Ana Maria A. C. Rocha Eufemia Tarantino Carmelo Maria Torre Yeliz Karaca (Eds.) •
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Computational Science and Its Applications – ICCSA 2020 20th International Conference Cagliari, Italy, July 1–4, 2020 Proceedings, Part IV
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Editors Osvaldo Gervasi University of Perugia Perugia, Italy Sanjay Misra Chair- Center of ICT/ICE Covenant University Ota, Nigeria Ivan Blečić University of Cagliari Cagliari, Italy Bernady O. Apduhan Department of Information Science Kyushu Sangyo University Fukuoka, Japan Eufemia Tarantino Polytechnic University of Bari Bari, Italy
Beniamino Murgante University of Basilicata Potenza, Potenza, Italy Chiara Garau University of Cagliari Cagliari, Italy David Taniar Clayton School of Information Technology Monash University Clayton, VIC, Australia Ana Maria A. C. Rocha University of Minho Braga, Portugal Carmelo Maria Torre Polytechnic University of Bari Bari, Italy
Yeliz Karaca Department of Neurology University of Massachusetts Medical School Worcester, MA, USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-58810-6 ISBN 978-3-030-58811-3 (eBook) https://doi.org/10.1007/978-3-030-58811-3 LNCS Sublibrary: SL1 – Theoretical Computer Science and General Issues © Springer Nature Switzerland AG 2020 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 author