(Read now) Outlier Detection for Temporal Data (Synthesis Lectures on Data Mining and Knowledge Discovery)
☆ Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han ☆
| #3325961 in Books | 2014-04-01 | Original language:English | PDF # 1 | 9.25 x.30 x7.50l,.52 | File Name: 1627053751 | 130 pages
||0 of 2 people found the following review helpful.| Not worth its price|By MI|Really hard book to read even for someone with a Phd.|About the Author|Microsoft India and International Institute of Information Technology, Hyderabad, India
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, st...
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