Y
Yan Huang
Researcher at University of North Texas
Publications - 223
Citations - 7241
Yan Huang is an academic researcher from University of North Texas. The author has contributed to research in topics: Josephson effect & Spatial analysis. The author has an hindex of 35, co-authored 206 publications receiving 6413 citations. Previous affiliations of Yan Huang include Microsoft & National Institute for Materials Science.
Papers
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Proceedings ArticleDOI
T-drive: driving directions based on taxi trajectories
TL;DR: This paper mine smart driving directions from the historical GPS trajectories of a large number of taxis, and provides a user with the practically fastest route to a given destination at a given departure time.
Proceedings ArticleDOI
Map-matching for low-sampling-rate GPS trajectories
TL;DR: The results show that the ST-matching algorithm significantly outperform incremental algorithm in terms of matching accuracy for low-sampling trajectories and when compared with AFD-based global algorithm, ST-Matching also improves accuracy as well as running time.
Journal ArticleDOI
Discovering colocation patterns from spatial data sets: a general approach
TL;DR: A transaction-free approach to mine colocation patterns by using the concept of proximity neighborhood and a new interest measure, a participation index, is presented which possesses an antimonotone property which can be exploited for computational efficiency.
Book
Advances in Spatial and Temporal Databases
Michael Gertz,Matthias Renz,Xiaofang Zhou,Erik Hoel,Wei-Shinn Ku,Agnes Voisard,Chengyang Zhang,Haiquan Chen,Liang Tang,Yan Huang,Chang-Tien Lu,Siva Ravada +11 more
TL;DR: The RICC (Reachability Index Construction by Contraction) approach for processing spatiotemporal reachability queries without the instant exchange assumption is proposed and tested on two types of realistic datasets.
Book ChapterDOI
Discovering Spatial Co-location Patterns: A Summary of Results
Shashi Shekhar,Yan Huang +1 more
TL;DR: This work proposes a notion of user-specified neighborhoods in place of transactions to specify groups of items to solve the spatial co-location rule problem.