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Title:*Multidimensional Analysis of Moving Object Data
Author(s):Li, Xiaolei
Doctoral Committee Chair(s):Han, Jiawei
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:To this end, we present our studies in this thesis. With regards to anomaly detection, we present three models to automatically detect moving object anomaly, traffic anomaly, and subspace anomaly. The last of which detects anomalies in a multidimensional space, which is often the case in real world datasets. Additionally, we also address problems that could occur due to sampling in a multidimensional space and how to summarize moving object trajectories for more efficient processing.
Issue Date:2008
Type:Text
Language:English
Description:143 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
URI:http://hdl.handle.net/2142/81818
Other Identifier(s):(MiAaPQ)AAI3314964
Date Available in IDEALS:2015-09-25
Date Deposited:2008


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