A metaheuristic approach for mining gradual patterns - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Journal Articles Swarm and Evolutionary Computation Year : 2022

A metaheuristic approach for mining gradual patterns

Thomas Runkler
  • Function : Author
  • PersonId : 1040287
Anne Laurent

Abstract

Swarm intelligence is a discipline that studies the collective behavior that is produced by local interactions of a group of individuals with each other and with their environment. In Computer Science domain, numerous swarm intelligence techniques are applied to optimization problems that seek to efficiently find best solutions within a search space. Gradual pattern mining is another Computer Science field that could benefit from the efficiency of swarm based optimization techniques in the task of finding gradual patterns from a huge search space. A gradual pattern is a rule-based correlation that describes the gradual relationship among the attributes of a data set. For example, given
Fichier principal
Vignette du fichier
2211.07940.pdf (1.53 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

lirmm-03850123 , version 1 (17-10-2023)

Identifiers

Cite

Dickson Odhiambo Owuor, Thomas Runkler, Anne Laurent. A metaheuristic approach for mining gradual patterns. Swarm and Evolutionary Computation, 2022, 75, pp.101205. ⟨10.1016/j.swevo.2022.101205⟩. ⟨lirmm-03850123⟩
30 View
5 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More