Association Rules Algorithms for Data Mining Process Based on Multi Agent System - Machine Learning for Networking Access content directly
Conference Papers Year : 2020

Association Rules Algorithms for Data Mining Process Based on Multi Agent System

Abstract

In this paper, we present a collaborative multi-agent based system for data mining. We have used two data mining model functions, clustering of variables in order to build homogeneous groups of attributes, association rules inside each of these groups and a multi-agent approach to integrate the both data mining techniques. For the association rules extraction, we use both apriori algorithm and genetic algorithm.The main goal of this paper is the evaluation of the association rules obtained by running apriori and genetic algorithm using quantitative datasets in multi agent environment.
Fichier principal
Vignette du fichier
487577_1_En_30_Chapter.pdf (759.69 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03266467 , version 1 (21-06-2021)

Licence

Attribution

Identifiers

Cite

Imane Belabed, Mohammed Talibi Alaoui, Jaara El Miloud, Abdelmajid Belabed. Association Rules Algorithms for Data Mining Process Based on Multi Agent System. 2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.431-443, ⟨10.1007/978-3-030-45778-5_30⟩. ⟨hal-03266467⟩
49 View
30 Download

Altmetric

Share

Gmail Facebook X LinkedIn More