Integrating an association rule mining agent in an ERP system: A proposal and a computational scalability analysis
Tipo
Artigo de evento
Data de publicação
2019
Periódico
ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence
Citações (Scopus)
1
Autores
De Souza R.M.M.
Vilasboas F.G.
Notargiacomo P.
De Castro L.N.
Vilasboas F.G.
Notargiacomo P.
De Castro L.N.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
Copyright © 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.
Descrição
Palavras-chave
Assuntos Scopus
Apriori , Computational architecture , Computational performance , Computational scalability , Development costs , ERP system , Knowledge discovery in database , Rule mining algorithms