GitHub topics: selectivity-estimation
lias-laboratory/spatial-selectivity-estimation-ext
Framework for spatial selectivity estimation using machine learning and optimizer feedback. Addresses both RCC filters and distance-based filters by transforming estimation into regression task. Compares neural networks, tree-based models and instance-based approaches against traditional RTree and histogram methods across 14 spatial datasets.
Language: Jupyter Notebook - Size: 8.61 MB - Last synced at: 3 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
lias-laboratory/spatialselectivityestimation
This repository contains experimentation on selectivity estimation when dealing with spatial filters using optimizer feedback. Explore our experiments and methodologies in selectivity estimation for spatial filters.
Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0