Gradual pattern extraction is a field in (KDD) Knowledge Discovery in Databases that maps correlations between attributes of a data set as gradual dependencies. A gradual dependency may take a form of "the more Attribute K , the less Attribute L".
Aug 31, 2022
Jul 24, 2021 · In this study, we propose an ant colony optimization (ACO) which uses a probabilistic approach to improve efficiency of both BFS-based and DFS- ...
Sep 1, 2022 · In this study, we propose an ant colony optimization (ACO) which uses a probabilistic approach to improve efficiency of both BFS-based and DFS- ...
In this paper, we propose an ant colony optimization technique that uses a probabilistic approach to learn and extract frequent gradual patterns. Through ...
A Python implementation of the ACO-GRAANK algorithm. The algorithm utilizes a pheromone-based (or probabilistic) strategy to optimize the GRAANK algorithm. The ...
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Gradual pattern extraction is a field in Knowledge Discovery in Databases that maps correlations between attributes of a data set as gradual dependencies.
Optimization algorithms for gradual patterns · 1. GRAdual rANKing Algorithm for GPs (GRAANK) · 2. Ant Colony Optimization for GPs (ACO-GRAANK) · 3. Genetic ...
Sep 18, 2022 · 1. Ant Colony Optimization for Mining Gradual Patterns( · 3. Efficiently solving the thief orienteering problem with a max-min ant colony ...
In this work, we propose an ant colony optimization technique which uses a popular probabilistic approach that mimics the behavior biological ants as they ...