Browsing KINDI Center for Computing Research by Subject "query processing"
Now showing items 1-3 of 3
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LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
( Frontiers Media S.A. , 2020 , Article)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 query processing. In this paper, we present ... -
Similarity Group-by Operators for Multi-Dimensional Relational Data
( IEEE Computer Society , 2016 , Conference Paper)The SQL group-by operator plays an important role in summarizing and aggregating large datasets in a data analytics stack. While the standard group-by operator, which is based on equality, is useful in several applications, ... -
The similarity-aware relational intersect database operator
( Springer International Publishing , 2014 , Conference Paper)Identifying similarities in large datasets is an essential operation in many applications such as bioinformatics, pattern recognition, and data integration. To make the underlying database system similarity-aware, the core ...