Lanean...
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...
| Egile Nagusiak: | Gupta, Manish (Egilea), Aggarwal, Charu C. (Egilea), Gao, Jing (Egilea), Han, Jiawei (Egilea) |
|---|---|
| Formatua: | eBook |
| Hizkuntza: | English |
| Argitaratua: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
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| Saila: | Synthesis digital library of engineering and computer science.
Synthesis lectures on data mining and knowledge discovery ; # 8. |
| Gaiak: | |
| Sarrera elektronikoa: | Abstract with links to full text |
Antzeko izenburuak
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Outlier detection for temporal data /
nork: Gupta, Manish, et al.
Argitaratua: (2014) -
Outliers in statistical data
nork: Barnett, V K, et al.
Argitaratua: (1978) -
Outlier in statistical data/2nd ed.
nork: Barnett, Vic
Argitaratua: (1987) -
THE CHALLENGE OF THE TEMPORAL PROCESS :PRINCIPAL MILLER LECTURES 1933
nork: HOGG AG
Argitaratua: (1934) -
Regression Diagnostics : Identifying Influential Data and Sources of Collinearity
nork: Belsley, David A.
Argitaratua: (2004)