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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Anomaly Detection Principles and Algorithms
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Anomaly Detection Principles and Algorithms
Huaming Huang (Gebundene Ausgabe, Englisch)
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Beschreibung
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. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
25.01.2018
Sprache
Englisch
EAN
9783319675244
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Terrorism, Security, and Computation
Sonderedition
Nein
Autor
Huaming Huang
Seitenanzahl
217
Auflage
1st edition 2017
Einbandart
Gebundene Ausgabe
Schlagwörter
Anomaly Detection, Data Mining, Rank Based Approach, Security Applications, Time Series Anomaly Detection, Outlier Detection, Clustering, Classification, Algorithms, Machine Learning, Statistical Pattern Recognition, Time Series, Ensemble Methods
Thema-Inhalt
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
UYQP - Mustererkennung
UR - Computersicherheit
UTN - Netzwerksicherheit
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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