554 citations · 645 across the 5 of their papers we have counts for
6 papers · 1 filter
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
Yuxing Han, Ziniu Wu, Peizhi Wu +11
Cardinality estimation (CardEst) plays a significant role in generating high-quality query plans for a query optimizer in DBMS. In the last decade, an increasing number of advanced…
Let Trajectories Speak Out the Traffic Bottlenecks
Hui Luo, Zhifeng Bao, Gao Cong +2
Traffic bottlenecks are a set of road segments that have an unacceptable level of traffic caused by a poor balance between road capacity and traffic volume. A huge volume of trajec…
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
Peizhi Wu, Gao Cong
Cardinality estimation is a fundamental problem in database systems. To capture the rich joint data distributions of a relational table, most of the existing work either uses data…
A Survey on Trajectory Data Management, Analytics, and Learning
Sheng Wang, Zhifeng Bao, J. Shane Culpepper +1
Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more…
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning
Zheng Wang, Cheng Long, Gao Cong +1
Similar trajectory search is a fundamental problem and has been well studied over the past two decades. However, the similar subtrajectory search (SimSub) problem, aiming to return…
SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects
Kaiyu Feng, Tao Guo, Gao Cong +2
With the proliferation of mobile devices and location-based services, continuous generation of massive volume of streaming spatial objects (i.e., geo-tagged data) opens up new oppo…