9 citations · 16 across the 5 of their papers we have counts for
6 papers
Scalable Relational Query Processing on Big Matrix Data
Yongyang Yu, Mingjie Tang, Walid G. Aref
The use of large-scale machine learning methods is becoming ubiquitous in many applications ranging from business intelligence to self-driving cars. These methods require a complex…
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data
Guizhen Wang, Jingjing Guo, Mingjie Tang +6
Online sampling-supported visual analytics is increasingly important, as it allows users to explore large datasets with acceptable approximate answers at interactive rates. However…
SQLFlow: A Bridge between SQL and Machine Learning
Yi Wang, Yang Yang, Weiguo Zhu +11
Industrial AI systems are mostly end-to-end machine learning (ML) workflows. A typical recommendation or business intelligence system includes many online micro-services and offlin…
A Natural-language-based Visual Query Approach of Uncertain Human Trajectories
Zhaosong Huang, Ye Zhao, Wei Chen +6
Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requiremen…
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Mingjie Tang, Yongyang Yu, Walid G. Aref +3
Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial q…
Adaptive Processing of Spatial-Keyword Data Over a Distributed Streaming Cluster
Ahmed R. Mahmood, Anas Daghistani, Ahmed M. Aly +4
The widespread use of GPS-enabled smartphones along with the popularity of micro-blogging and social networking applications, e.g., Twitter and Facebook, has resulted in the genera…