Advanced Techniques for Anomaly Detection
CALL FOR BOOK CHAPTER
About the Book
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.
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
Important Dates
Second Round:
Full Chapter Submission: 10 Apr 2024
First Round of Review: 25 Apr 2024
Revised Full Chapter Submission: 05 May 2024
Final Decision Notification: 20 May 2024
First Round:
Full Chapter Submission: 10 Dec 2023
First Round of Review: 20 Jan 2024
Revised Full Chapter Submission: 05 Feb 2024
Final Decision Notification: 25 Feb 2024
Submission Details
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, Latex or Word.
Papers should be submitted through this link.
Publication Details
The book entitled "Advanced Techniques for Anomaly Detection" will be published by CRC Press (Taylor & Francis Group).
Indexing: Scopus and WoS.