activity
20172020
most citedLocationSpark: In-memory Distributed Spatial Query Processing and Optimization

9 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2020

SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial Data

Anas Daghistani, Walid G. Aref, Arif Ghafoor +1

The proliferation of GPS-enabled devices has led to the development of numerous location-based services. These services need to process massive amounts of spatial data in real-time…

cs.DB20199 cited

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…

cs.DB20171 cited

Pattern-Driven Data Cleaning

El Kindi Rezig, Mourad Ouzzani, Walid G. Aref +2

Data is inherently dirty and there has been a sustained effort to come up with different approaches to clean it. A large class of data repair algorithms rely on data-quality rules…

cs.DB20174 cited

FAST: Frequency-Aware Spatio-Textual Indexing for In-Memory Continuous Filter Query Processing

Ahmed R. Mahmood, Ahmed M. Aly, Walid G. Aref

Many applications need to process massive streams of spatio-textual data in real-time against continuous spatio-textual queries. For example, in location-aware ad targeting publish…

cs.DC2017

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…