Anomaly Detection Principles and Algorithms

Anomaly Detection Principles and Algorithms
Author :
Publisher : Springer
Total Pages : 229
Release :
ISBN-10 : 9783319675268
ISBN-13 : 3319675265
Rating : 4/5 (68 Downloads)

Book Synopsis Anomaly Detection Principles and Algorithms by : Kishan G. Mehrotra

Download or read book Anomaly Detection Principles and Algorithms written by Kishan G. Mehrotra and published by Springer. This book was released on 2017-11-18 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.


Anomaly Detection Principles and Algorithms Related Books

Anomaly Detection Principles and Algorithms
Language: en
Pages: 229
Authors: Kishan G. Mehrotra
Categories: Computers
Type: BOOK - Published: 2017-11-18 - Publisher: Springer

DOWNLOAD EBOOK

This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large
Practical Machine Learning: A New Look at Anomaly Detection
Language: en
Pages: 65
Authors: Ted Dunning
Categories: Computers
Type: BOOK - Published: 2014-07-21 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Finding Data Anomalies You Didn't Know to Look For Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discove
Network Anomaly Detection
Language: en
Pages: 364
Authors: Dhruba Kumar Bhattacharyya
Categories: Computers
Type: BOOK - Published: 2013-06-18 - Publisher: CRC Press

DOWNLOAD EBOOK

With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion de
Network Traffic Anomaly Detection and Prevention
Language: en
Pages: 278
Authors: Monowar H. Bhuyan
Categories: Computers
Type: BOOK - Published: 2017-09-03 - Publisher: Springer

DOWNLOAD EBOOK

This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of t
Beginning Anomaly Detection Using Python-Based Deep Learning
Language: en
Pages: 427
Authors: Sridhar Alla
Categories: Computers
Type: BOOK - Published: 2019-10-10 - Publisher: Apress

DOWNLOAD EBOOK

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python,