Toward Trajectory Simplification Techniques
Trajectory data are widely-used in several applications, like destination prediction, public transportation optimization, travel
route recommendation, etc. However, due to the nature of spatio-temporal locality, raw trajectory data
usually contain redundant movement information. This observation motivates the trajectory
simplification approaches which discard some points with preserving some specific features,
such as position features, direction features, and so on. This talk firstly defines the trajectory
simplification problems. Then, several simplification approaches are described, including position-preserving and direct-preserving approaches.
Finally, a velocity-preserving trajectory simplification will be introduced which preserves both velocity and position information from the origin trajectory.
About the speaker
Dr. HUNG Chih-Chieh is an assistant professor of Department of Computer Science and Information Engineering in Tamkang University, Taiwan. He also serves as the general secretary of Taiwan AI Association. Dr. Hung received his PhD degree in Department of Computer Science at National Chiao Tung University (Taiwan) in 2011. In his PhD, he has published dozens of papers in top-tier conference and journals such as VLDBJ, IEEE TKDE, CIKM, ICDM, and ICDE. He has received the Best Paper Award in ACM Workshop on Location-Based Social Network in 2009. After getting his PhD degree, his joined e-commerce industry: he served as a research engineer at Yahoo! Taiwan and a data scientist at Rakuten Inc., Japan. He was in charge of improving the product search relevancy, developing inventory prediction systems and adaptive recommendation systems. Back to the way of his academic life, his research interest includes data science and engineering, urban computing, big data analytics and systems, and trajectory data mining.
This research is supported by the National Research Foundation, Prime Minister's Office, Singapore under its International Research Centres in Singapore Funding Initiative.
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