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Transactional database analysis by discovering pairwise interactions strengths

  • Mauricio A. Valle(corresponding author)
    ,
  • Gonzalo A. Ruz
    ,
  • Sergio Rica
*Corresponding author for this work
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Article number

8508578

Pages from-to (Number of pages)

Pages 849-854 (6 pages)

Publication milestones

  • Published - 24/10/2018

Publication status

Published - 24/10/2018

Publisher

Institute of Electrical and Electronics Engineers Inc.

Publication series

  • Publication series name: Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018

ISBN (Electronic)

9781538660515

Publication IDs

  • Scopus: 85057309934

Host publication title

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

Host publication editors

  • Andrea Tagarelli
  • Chandan Reddy
  • Ulrik Brandes

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.

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