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Wang-Chien Lee
Researcher at Pennsylvania State University
Publications - 367
Citations - 15328
Wang-Chien Lee is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Wireless sensor network & Mobile computing. The author has an hindex of 60, co-authored 366 publications receiving 14123 citations. Previous affiliations of Wang-Chien Lee include Ohio State University & Verizon Communications.
Papers
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Proceedings ArticleDOI
Mining user similarity from semantic trajectories
TL;DR: Wang et al. as discussed by the authors proposed a trajectory similarity measurement, namely, Maximal Semantic Trajectory Pattern Similarity (MSTP-Similarity), which measures the semantic similarity between trajectories.
Journal ArticleDOI
Time-critical on-demand data broadcast: algorithms, analysis, and performance evaluation
TL;DR: A novel scheduling algorithm called SIN-/spl alpha/ is proposed that takes the urgency and number of outstanding requests into consideration and significantly outperforms existing algorithms over a wide range of workloads and approaches the analytical bound at high request rates.
Journal ArticleDOI
Clustering and aggregating clues of trajectories for mining trajectory patterns and routes
TL;DR: The experimental results show that CACT is more effective in discovering trajectory patterns than the state-of-the-art techniques for mining trajectory patterns.
Proceedings ArticleDOI
CLR: a collaborative location recommendation framework based on co-clustering
TL;DR: The Collaborative Location Recommendation (CLR) framework is proposed, which employs a dynamic clustering algorithm CADC to cluster the trajectory data into groups of similar users, similar activities and similar locations efficiently by supporting incremental update of the groups when new GPS trajectory data arrives.
Journal ArticleDOI
Top-k Monitoring in Wireless Sensor Networks
TL;DR: The results show that FILA substantially outperforms the existing TAG-based approach and range caching approach in terms of both network lifetime and energy consumption under various network configurations.