Outlier detection for temporal data
INITIAL_TITLE_SRCH:
Outlier detection for temporal data
AUTHOR:
Gupta, Manish (Computer scientist)
ISBN:
9781627053754
PUBLICATION_INFO:
[San Rafael, California] : Morgan & Claypool, c2014.
PHYSICAL_DESC:
xviii, 110 p. : ill. ; 24 cm
SERIES:
Synthesis lectures on data mining and knowledge discovery ; #8
Synthesis lectures on data mining and knowledge discovery ; #8.
SERIES_TITLE:
Synthesis lectures on data mining and knowledge discovery ;
ABSTRACT:
Compared to general outlier detection, techniques for temporal outlier detection are very different. This book presents an organised picture of both recent and past research in temporal outlier detection. It starts with the basics before moving on to the main ideas in state-of-the-art outlier detection techniques.
SUBJECT:
| Outliers (Statistics) |
| Temporal databases. |
BIBSUMMARY:
Compared to general outlier detection, techniques for temporal outlier detection are very different. This book presents an organised picture of both recent and past research in temporal outlier detection. It starts with the basics before moving on to the main ideas in state-of-the-art outlier detection techniques.