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Outlier detection for temporal data /

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Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time...

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Dettagli Bibliografici
Autori principali:	Gupta, Manish (Autore), Aggarwal, Charu C. (Autore), Gao, Jing (Autore), Han, Jiawei (Autore)
Natura:	eBook
Lingua:	English
Pubblicazione:	San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2014.
Serie:	Synthesis digital library of engineering and computer science. Synthesis lectures on data mining and knowledge discovery ; # 8.
Soggetti:	Outliers (Statistics) Temporal databases. data streams distributed data streams spatiotemporal outliers temporal networks temporal outlier detection time series data
Accesso online:	Abstract with links to full text

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