An open API service providing repository metadata for many open source software ecosystems.

Sujet: "selectivity-estimation"

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.

langage: Jupyter Notebook - taille: 22,1 Mo - dernière synchronisation: il y a 5 jours - enregistré: il y a plus d'un an - étoiles: 1 - forks: 0

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.

langage: Jupyter Notebook - taille: 8,62 Mo - dernière synchronisation: il y a 6 jours - enregistré: il y a 3 mois - étoiles: 0 - forks: 0