Anomaly Detection

Author / Organization:
Open Access Books Published 2024 Verification Pending

Overview & Synopsis

This book discusses and addresses anomaly detection in the context of artificial intelligence and machine learning advancements. Building on the existing literature, this thorough and timely work is an invaluable resource. It highlights various problems, offers workable solutions to those problems, and allows academic and professional researchers and practitioners to engage in new technologies linked to anomaly detection. This book demystifies the challenges and presents solutions for detecting and understanding network anomalies. Whether you are a seasoned network professional or an enthusiast keen on cyber security, this volume promises insights that will fortify our connected futures. Join us in navigating the complexities of modern networks and championing a safer, more transparent digital era.

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Document Information

Document Title Anomaly Detection
Author / Organization DOAB Contributor
Subject & Discipline thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
Categories Open Access Books
Publication Year 2024
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website Directory of Open Access Books (www.doabooks.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-278712
Original Source Link Visit Source Page on www.doabooks.org »