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Books > Computing & IT > Computer communications & networking > Network security
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Anomaly Detection Principles and Algorithms (Hardcover, 1st ed. 2017)
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Anomaly Detection Principles and Algorithms (Hardcover, 1st ed. 2017)
Series: Terrorism, Security, and Computation
Expected to ship within 12 - 19 working days
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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.
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