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Outlier detection for temporal data /

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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Détails bibliographiques
Auteurs principaux: Gupta, Manish (Auteur), Aggarwal, Charu C. (Auteur), Gao, Jing (Auteur), Han, Jiawei (Auteur)
Format: eBook
Langue:English
Publié: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2014.
Collection:Synthesis digital library of engineering and computer science.
Synthesis lectures on data mining and knowledge discovery ; # 8.
Sujets:
Accès en ligne:Abstract with links to full text