research
∙
09/12/2023
Enhancing In-Memory Spatial Indexing with Learned Search
Spatial data is ubiquitous. Massive amounts of data are generated every ...
share
research
∙
11/16/2021
The Case for Learned In-Memory Joins
In-memory join is an essential operator in any database engine. It has b...
research
∙
07/03/2021
When Are Learned Models Better Than Hash Functions?
In this work, we aim to study when learned models are better hash functi...
research
∙
10/23/2020
The Case for Distance-Bounded Spatial Approximations
Spatial approximations have been traditionally used in spatial databases...
research
∙
08/24/2020
