« Back to Glossary Index

Post-processing refers to the procedures applied after an algorithm has generated results. These procedures can include pruning routines, rule filtering, or knowledge integration, aimed at refining the output. The goal is to remove noise and imprecise knowledge, applying a symbolic filter to enhance the quality and accuracy of the algorithm’s results.