Outlier Detection for Temporal Data

by Manish Gupta, Charu Aggarwal, Jing Gao

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,...

• Format: Paperback
• Language: English
• ISBN: 3031007778
• ISBN13: 9783031007774
• Release Date: April 2014
• Publisher: Springer
• Length: 110 Pages
• Weight: 0.53 lbs.
• Dimensions: 0.3" x 7.5" x 9.3"