ATAD-CRCPress-2023: ATAD-CRCPress-2023: Advanced Techniques for Anomaly Detection |
Website | https://sites.google.com/view/advanced-anomalydetection/home |
Submission link | https://easychair.org/conferences/?conf=atadcrcpress2023 |
Abstract registration deadline | October 31, 2023 |
Submission deadline | December 10, 2023 |
The edited book, entitled "Advanced Techniques for Anomaly Detection," provides an in-depth analysis of the latest developments in anomaly detection methodologies within several fields such as healthcare, energy, finance, telecommunications, etc. The aim of this book is to provide readers with an in-depth knowledge of advanced anomaly detection techniques and their diverse applications.
This book provides a connection between theoretical understanding and practical application. It aims to provide important insights into the process of designing and implementing advanced anomaly detection systems. The major objective of this book is to provide researchers, practitioners, and students with the necessary resources to develop effective anomaly detection systems that are capable of correctly identifying anomalies in real-time. By engaging in this practice, it effectively contributes to the improvement of security and reliability in various systems and applications.
Additionally, this book aims to keep experts working in the fields of energy, finance, healthcare, and cybersecurity up to date on the most recent improvements in anomaly detection, enabling them to easily incorporate these developments into their jobs.
Submission Guidelines
All manuscripts should be entirely original and must not be under concurrent consideration by any other journal, book, or conference. Authors are encouraged to submit their work in PDF format along with an editable version in either LaTeX or Word format via the provided submission link. Each individual chapter should adhere to a length requirement, falling within a range of 15 to 40 pages (including references), while following the Taylor & Francis template.
List of Topics
The scope of the book includes but not limited to the following topics:
- Introduction to Anomaly Detection
- Supervised/Unsupervised/Semi-Supervised Anomaly Detection
- Deep Learning for Anomaly Detection
- Streaming Anomaly Detection
- Multivariate Anomaly Detection
- Time Series Anomaly Detection
- Graph and Network Anomaly Detection
- Anomaly Detection for Cybersecurity
- Financial Market Anomalies
- Social Media Anomaly Detection
- Energy Grid Anomaly Detection
- Anomaly Detection for Environmental Monitoring
Editors
- Dr. Abdul Wahid, University of Galway, Email: abdul.wahid@universityofgalway.ie
- Dr. Praveen Kumar Donta, TU Wien, Austria, Email: pdonta@dsg.tuwien.ac.at
Publication
Advanced Techniques for Anomaly Detection proceedings will be published in CRC Press (Taylor & Francis Group).
Contact
All questions about submissions should be emailed to abdul.wahid@universityofgalway.ie