GitHub / 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.

JSON API: https://data.code.gouv.fr/api/v1/hosts/GitHub/repositories/lias-laboratory%2Fspatial-selectivity-estimation-ext

Topics: machine-learning, optimizer-feedback, selectivity-estimation, spatial-filters

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