@inproceedings{79a5763730d943ddaa0098d0d7cedd7f,
title = "Market Basket Analysis Using Boltzmann Machines",
abstract = "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.",
keywords = "Boltzmann learning, Ising model, Market basket, Minimum spanning tree",
author = "Valle, {Mauricio A.} and Ruz, {Gonzalo A.}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 28th International Conference on Artificial Neural Networks, ICANN 2019 ; Conference date: 17-09-2019 Through 19-09-2019",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-30490-4_49",
language = "Ingl{\'e}s",
isbn = "9783030304898",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "611--623",
editor = "Tetko, {Igor V.} and Pavel Karpov and Fabian Theis and Vera Kurkov{\'a}",
booktitle = "Artificial Neural Networks and Machine Learning – ICANN 2019",
}