Książka Outlier and Anomaly Detection Victoria Hodge

Outlier and Anomaly Detection

A Survey of Outlier and Anomaly Detection Methods

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
184.07
An outlier or anomaly is a data point that is inconsistent with the rest of the data population. Out...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2011
strony
112
EAN
9783846548226
Enbook ID
06961651
Waga
192
Wymiary
150 x 220 x 6

Pełny opis

An outlier or anomaly is a data point that is inconsistent with the rest of the data population. Outlier or anomaly detection has been used for centuries to detect and remove anomalous observations from data. It is used to monitor vital infrastructure such as utility distribution networks, transportation networks, machinery or computer networks for faults. Detection can identify faults before they escalate with potentially catastrophic consequences. Today, principled and systematic detection techniques are used, drawn from the full gamut of Computer Science and Statistics. The book forms a survey of techniques covering statistical, proximity-based, density-based, neural, natural computation, machine learning, distributed and hybrid systems. It identifies their respective motivations and distinguishes their advantages and disadvantages in a comparative review. It aims to provide the reader with a feel of the diversity and multiplicity of techniques available. The survey should be useful to advanced undergraduate and postgraduate computer and library/information science students and researchers analysing and developing outlier and anomaly detection systems.

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