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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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Detalles Bibliográficos
Autores principales: Gupta, Manish (Autor), Aggarwal, Charu C. (Autor), Gao, Jing (Autor), Han, Jiawei (Autor)
Formato: eBook
Lenguaje:English
Publicado: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2014.
Colección:Synthesis digital library of engineering and computer science.
Synthesis lectures on data mining and knowledge discovery ; # 8.
Materias:
Acceso en línea:Abstract with links to full text