Market Basket Analysis Using Boltzmann Machines

Mauricio A. Valle, Gonzalo A. Ruz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)


In this paper we present a proposal to analyze market baskets using minimum spanning trees, based on couplings between products. The couplings are the result of a learning process with Boltzmann machines from transactional databases, in which the interaction between the different offers of the market are modeled as a network composed by magnetic dipoles of spins that can be in two states ((formula presented)1 or −1). The results offer a systematic way to explore potential courses of action to determine promotions and offers for the retail manager.

Idioma originalInglés
Título de la publicación alojadaArtificial Neural Networks and Machine Learning – ICANN 2019
Subtítulo de la publicación alojadaText and Time Series - 28th International Conference on Artificial Neural Networks, 2019, Proceedings
EditoresIgor V. Tetko, Pavel Karpov, Fabian Theis, Vera Kurková
EditorialSpringer Verlag
Número de páginas13
ISBN (versión impresa)9783030304898
EstadoPublicada - 2019
Evento28th International Conference on Artificial Neural Networks, ICANN 2019 - Munich, Alemania
Duración: 17 sep. 201919 sep. 2019

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11730 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia28th International Conference on Artificial Neural Networks, ICANN 2019


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