Application of data mining and complex networks in the representation of purchasing associations: a case study in supermarket purchases

Resumo


The development of solutions for the analysis of purchasing associations and consumer behavior is of great interest. One of the main challenges is to provide assertive results, with high accuracy, which enable the generation of strategic information to aid decision making. This paper presents an analysis of a supermarket sales data set by applying a hybrid solution based on data mining and complex networks. The results achieved reveal the potential of using complex networks in the information generation process.

Palavras-chave: Data mining, complex networks, purchasing associations

Referências

Fontanella, P. (2010). Associações de compra em supermercado utilizando o data mining. Dissertação de mestrado, Universidade Federal do Paraná, Curitiba.

Gull, M. and Pervaiz, A. (2018). Customer behavior analysis towards online shopping using data mining. In 2018 5th International Multi-Topic ICT Conference (IMTIC), pages 1–5.

Setiawan, A., Budhi, G. S., Setiabudi, D. H., and Djunaidy, R. (2017). Data mining applications for sales information system using market basket analysis on stationery company. In 2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT), pages 337–340.

Zanin, M., Papo, D., Sousa, P. A., Menasalvas, E., Nicchi, A., Kubik, E., and Boccaletti, S. (2016). Combining complex networks and data mining: why and how. Physics Reports, 635:1–44.
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30/06/2020
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LIMA, Maicon; CASTRO, Melque Henrique; LEITE, Thiago; CORDEIRO, Douglas; DA SILVA, Nubia Rosa. Application of data mining and complex networks in the representation of purchasing associations: a case study in supermarket purchases. In: ENCONTRO DE TEORIA DA COMPUTAÇÃO (ETC), 5. , 2020, Cuiabá. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 101-104. ISSN 2595-6116. DOI: https://doi.org/10.5753/etc.2020.11100.