Integrating an Association Rule Mining Agent in an ERP System: A Proposal and a Computational Scalability Analysis

Rafael Marin Machado de Souza, Fabrício Vilasbôas, Pollyana Notargiacomo, Leandro Nunes de Castro

2019

Abstract

Deployment 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.

Paper Citation

in Harvard Style

Marin Machado de Souza R., Vilasbôas F., Notargiacomo P. and Nunes de Castro L. (2019). Integrating an Association Rule Mining Agent in an ERP System: A Proposal and a Computational Scalability Analysis.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 778-786. DOI: 10.5220/0007483307780786

in Bibtex Style

@conference{icaart19,
author={Rafael Marin Machado de Souza and Fabrício Vilasbôas and Pollyana Notargiacomo and Leandro Nunes de Castro},
title={Integrating an Association Rule Mining Agent in an ERP System: A Proposal and a Computational Scalability Analysis},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2019},
pages={778-786},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007483307780786},
isbn={978-989-758-350-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Integrating an Association Rule Mining Agent in an ERP System: A Proposal and a Computational Scalability Analysis
SN - 978-989-758-350-6
AU - Marin Machado de Souza R.
AU - Vilasbôas F.
AU - Notargiacomo P.
AU - Nunes de Castro L.
PY - 2019
SP - 778
EP - 786
DO - 10.5220/0007483307780786