AgentDiscover: A Multi-Agent System for Knowledge Discovery from Databases

Popa, Horia Emil; Pop, Dániel; Negru, Viorel; Zaharie, Daniela

doi:10.1109/synasc.2007.57

Search citation statements

Order By: Relevance

Paper Sections

Select...

Agent and Multi Agent System1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2012

2020

Publication Types

Select...

Book2

Article1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These systems are comprised of agents that individually solve problems that are simpler than the overall system problem. They can communicate with each other and assist each other in achieving larger and more complex goals [13].…”

Section: Agent and Multi Agent Systemmentioning

confidence: 99%

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

Imane¹,

Alaoui²,

Miloud³

et al. 2020

Lecture Notes in Computer Science

View full text Add to dashboard Cite

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.

show abstract

Section: Agent and Multi Agent Systemmentioning

confidence: 99%