36 citations · 54 across the 10 of their papers we have counts for
10 papers
WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
Yibo Wang, Jiale Lao, Chen Zhang +3
Selecting appropriate values for the configurable parameters of Database Management Systems (DBMS) to improve performance is a significant challenge. Recent machine learning (ML)-b…
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…
PandaDB: Understanding Unstructured Data in Graph Database
Zihao Zhao, Zhihong Shen, Mingjie Tang +3
Unstructured data(e.g., images, videos, PDF files, etc.) contain semantic information, for example, the facial feature of a person and the plate number of a vehicle. There could be…
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…
Similarity Group-by Operators for Multi-dimensional Relational Data
Mingjie Tang, Ruby Y. Tahboub, Walid G. Are +4
The SQL group-by operator plays an important role in summarizing and aggregating large datasets in a data analytic stack.While the standard group-by operator, which is based on equ…
On Order-independent Semantics of the Similarity Group-By Relational Database Operator
Mingjie Tang, Ruby Y. Tahboub, Walid G. Aref +2
Similarity group-by (SGB, for short) has been proposed as a relational database operator to match the needs of emerging database applications. Many SGB operators that extend SQL ha…