Anomaly Detection

Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection  eBooks & eLearning

Posted by sasha82 at June 6, 2018
Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection

Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection by Mehdi Roopaei, Peyman Najafirad (Paul Rad)
2018 | ISBN: 1138302228 | English | 202 pages | PDF | 12 MB

Network Anomaly Detection: A Machine Learning Perspective (Repost)  eBooks & eLearning

Posted by DZ123 at March 28, 2016
Network Anomaly Detection: A Machine Learning Perspective (Repost)

Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita, "Network Anomaly Detection: A Machine Learning Perspective"
English | 2013 | ISBN: 1466582081 | PDF | pages: 364 | 3,6 mb

Network Anomaly Detection: A Machine Learning Perspective  eBooks & eLearning

Posted by insetes at April 30, 2022
Network Anomaly Detection: A Machine Learning Perspective

Network Anomaly Detection: A Machine Learning Perspective By Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita
2013 | 366 Pages | ISBN: 1466582081 | PDF | 4 MB

Anomaly-Detection and Health-Analysis Techniques for Core Router Systems  eBooks & eLearning

Posted by AvaxGenius at Dec. 19, 2019
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

Anomaly-Detection and Health-Analysis Techniques for Core Router Systems by Shi Jin
English | PDF | 2020 | 155 Pages | ISBN : 3030336638 | 10.9 MB

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today’s Internet Protocol (IP) networks. The techniques described provide the first comprehensive set of data-driven resiliency solutions for core router systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set of features of a complex core router system.

Practical Machine Learning: A New Look at Anomaly Detection  eBooks & eLearning

Posted by First1 at Aug. 31, 2017
Practical Machine Learning: A New Look at Anomaly Detection

Practical Machine Learning: A New Look at Anomaly Detection by Ted Dunning, Ellen Friedman
English | August 14th, 2014 | ASIN: B00MQ6RJZA, ISBN: 1491911603 | 66 pages | EPUB/MOBI | 11.05 MB

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work.

Practical Machine Learning: A New Look at Anomaly Detection  eBooks & eLearning

Posted by First1 at Aug. 31, 2017
Practical Machine Learning: A New Look at Anomaly Detection

Practical Machine Learning: A New Look at Anomaly Detection by Ted Dunning, Ellen Friedman
English | September 6th, 2014 | ISBN: 1491911603 | 65 pages | True PDF | 10.40 MB

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work.

Advanced Techniques for Anomaly Detection  eBooks & eLearning

Posted by hill0 at May 10, 2025
Advanced Techniques for Anomaly Detection

Advanced Techniques for Anomaly Detection: Beyond the Basics
English | 2025 | ISBN: 1032729309 | 194 Pages | PDF EPUB (True) | 18 MB

Control Charts and Machine Learning for Anomaly Detection in Manufacturing  eBooks & eLearning

Posted by AvaxGenius at Sept. 12, 2021
Control Charts and Machine Learning for Anomaly Detection in Manufacturing

Control Charts and Machine Learning for Anomaly Detection in Manufacturing by Kim Phuc Tran
English | EPUB | 2022 | 270 Pages | ISBN : 3030838188 | 30.2 MB

This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution.
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
English | March 29, 2024 | ASIN: B0CGVMK7K7 | 427 pages | EPUB (True) | 6.87 MB

Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools  eBooks & eLearning

Posted by AvaxGenius at Sept. 7, 2017
Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools

Network Traffic Anomaly Detection and Prevention: Concepts, Techniques, and Tools By Monowar H. Bhuyan, Prof. Dhruba K. Bhattacharyya, Prof. Jugal K. Kalita
English | PDF | 2017 | 278 Pages | ISBN : 3319651862 | 5.68 MB

This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information.