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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...
| Päätekijät: | , , , |
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| Aineistotyyppi: | E-kirja |
| Kieli: | English |
| Julkaistu: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
2014.
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| Sarja: | Synthesis digital library of engineering and computer science.
Synthesis lectures on data mining and knowledge discovery ; # 8. |
| Aiheet: | |
| Linkit: | Abstract with links to full text |