Transactional database analysis by discovering pairwise interactions strengths

Mauricio A. Valle, Gonzalo A. Ruz, Sergio Rica

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present a study that examines the complex interactions that could exist in transactional databases, among the items that constitute the products or purchases present in a market basket of consumers. Using simulated and real databases, we show that it is possible to reconstruct certain characteristics of aggregated purchasing behavior, with only second order interactions using the inverse Ising problem. While Ising's model is well known, the applications in this context are novel and have the potential to reveal useful information to the retail manager.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018
EditorsAndrea Tagarelli, Chandan Reddy, Ulrik Brandes
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages849-854
Number of pages6
ISBN (Electronic)9781538660515
DOIs
StatePublished - 24 Oct 2018
Event10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018 - Barcelona, Spain
Duration: 28 Aug 201831 Aug 2018

Publication series

NameProceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018

Conference

Conference10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018
Country/TerritorySpain
CityBarcelona
Period28/08/1831/08/18

Keywords

  • Boltzmann machine
  • network of products
  • pairwise interactions
  • transactional data base

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