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Outlier Detection For Temporal Data Aggarwal Charu C Gao Jing Gupta

  • SKU: BELL-5671496
Outlier Detection For Temporal Data Aggarwal Charu C Gao Jing Gupta
$ 31.00 $ 45.00 (-31%)

5.0

58 reviews

Outlier Detection For Temporal Data Aggarwal Charu C Gao Jing Gupta instant download after payment.

Publisher: Morgan & Claypool Publishers
File Extension: PDF
File size: 9.64 MB
Pages: 110
Author: Aggarwal, Charu C.; Gao, Jing; Gupta, Manish; Han, Jiawei
ISBN: 9781627053754, 9781627053761, 1627053751, 162705376X
Language: English
Year: 2014

Product desciption

Outlier Detection For Temporal Data Aggarwal Charu C Gao Jing Gupta by Aggarwal, Charu C.; Gao, Jing; Gupta, Manish; Han, Jiawei 9781627053754, 9781627053761, 1627053751, 162705376X instant download after payment.

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 series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book.
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.

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