Open access peer-reviewed Edited Volume

Anomaly Detection - Recent Advances, AI and ML Perspectives and Applications

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Academic Editor

Venkata Krishna Parimala
Venkata Krishna Parimala

Sri Padmavati Mahila Visvavidyalayam,
India

Series Editor

Andries Engelbrecht
Andries Engelbrecht ORCID icon for 0000-0002-0242-3539

Stellenbosch University,
South Africa

Published 17 January 2024

Doi 10.5772/intechopen.110988

ISBN 978-1-83769-027-5

Print ISBN 978-1-83769-026-8

eBook (PDF) ISBN 978-1-83769-028-2

Copyright year 2024

Number of pages 168

Part of the book series Artificial Intelligence

Issn 2633-1403

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Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
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Table of Contents

Open access  chapters

514
6
4. Anomaly Detection in Time Series: Current Focus and Future Challenges

By Farrukh Arslan, Aqib Javaid, Muhammad Danish Zaheer Awan and Ebad-ur-Rehman

642
7
5. Anomaly Detection through Adaptive DASO Optimization Techniques

By Surendra Bhosale, Achala Deshmukh, Bhushan Deore and Parag Bhosale

249
780
13
7. Verification of Generalizability in Software Log Anomaly Detection Models

By Hironori Uchida, Keitaro Tominaga, Hideki Itai, Yujle Li and Yoshihisa Nakatoh

246
1

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3,341 Total Chapter Downloads

34 Crossref Citations

45 Dimensions Citations

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