Integrating an association rule mining agent in an ERP system: A proposal and a computational scalability analysis

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dc.contributor.authorDe Souza R.M.M.
dc.contributor.authorVilasboas F.G.
dc.contributor.authorNotargiacomo P.
dc.contributor.authorDe Castro L.N.
dc.date.accessioned2024-03-12T23:55:29Z
dc.date.available2024-03-12T23:55:29Z
dc.date.issued2019
dc.description.abstractCopyright © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reservedDeployment flexibility, low development cost, and value-adding tools are some of the features that developers are looking for in ERP systems. Modularization through software agents is one way of achieving these objectives. In this sense, the present paper proposes the planning, implementation and integration of a software agent for association rule mining into an ERP system. The development and use of tools for all Knowledge Discovery in Databases (KDD) phases (pre-processing, data mining and post-processing), will be presented. This includes input data, file loading for the agent processing, use of the Apriori association rule mining algorithm, generation of output files with association rules, use of agent outputs for database storage and use of the stored data by the item recommendation tool. Experiments were carried out focusing the assessment of the running profile for databases of different sizes and using different computational architectures.
dc.description.firstpage778
dc.description.lastpage786
dc.description.volume2
dc.identifier.doi10.5220/0007483307780786
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35395
dc.relation.ispartofICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
dc.rightsAcesso Aberto
dc.subject.otherlanguageApriori
dc.subject.otherlanguageAssociation Rule Mining
dc.subject.otherlanguageComputational Performance
dc.subject.otherlanguageData Mining
dc.subject.otherlanguageErp Systems
dc.subject.otherlanguageSoftware Agents
dc.titleIntegrating an association rule mining agent in an ERP system: A proposal and a computational scalability analysis
dc.typeArtigo de evento
local.scopus.citations1
local.scopus.eid2-s2.0-85064834654
local.scopus.subjectApriori
local.scopus.subjectComputational architecture
local.scopus.subjectComputational performance
local.scopus.subjectComputational scalability
local.scopus.subjectDevelopment costs
local.scopus.subjectERP system
local.scopus.subjectKnowledge discovery in database
local.scopus.subjectRule mining algorithms
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064834654&origin=inward
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