DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jae-Gil | - |
dc.contributor.author | Han, Jiawei | - |
dc.contributor.author | Li, Xiaolei | - |
dc.date.accessioned | 2013-03-27T23:28:39Z | - |
dc.date.available | 2013-03-27T23:28:39Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2008-04-07 | - |
dc.identifier.citation | Int'l Conf. on Data Engineering (IEEE ICDE), v., no., pp.140 - 149 | - |
dc.identifier.uri | http://hdl.handle.net/10203/162231 | - |
dc.description.abstract | Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlier detection algorithm has limited capability to detect outlying sub- trajectories. In this paper, we propose a novel partition-and-detect framework for trajectory outlier detection, which partitions a trajectory into a set of line segments, and then, detects outlying line segments for trajectory outliers. The primary advantage of this framework is to detect outlying sub-trajectories from a trajectory database. Based on this partition-and-detect framework, we develop a trajectory outlier detection algorithm TRAOD. Our algorithm consists of two phases: partitioning and detection. For the first phase, we propose a two-level trajectory partitioning strategy that ensures both high quality and high efficiency. For the second phase, we present a hybrid of the distance-based and density-based approaches. Experimental results demonstrate that TRAOD correctly detects outlying sub-trajectories from real trajectory data. | - |
dc.language | ENG | - |
dc.title | Trajectory Outlier Detection: A Partition-and-Detect Framework | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 140 | - |
dc.citation.endingpage | 149 | - |
dc.citation.publicationname | Int'l Conf. on Data Engineering (IEEE ICDE) | - |
dc.identifier.conferencecountry | Mexico | - |
dc.identifier.conferencecountry | Mexico | - |
dc.contributor.localauthor | Lee, Jae-Gil | - |
dc.contributor.nonIdAuthor | Han, Jiawei | - |
dc.contributor.nonIdAuthor | Li, Xiaolei | - |
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