Understanding customer behaviors is deemed crucial to improve customers' satisfaction and loyalty, which eventually is materialized in increased revenue. This paper tackles this challenge by using complex networks and multiple instance reasoning to examine the network structure of Customer Purchasing Behaviors. Our main contributions rely on a new multiple instance similarity to measure the interaction among customers based on the mutual information theory focuses on the customers' bags, a new network construction approach involving customers, orders and products, and a new measure for evaluating its internal consistency. The simulations using 12 real-world problems support the eectiveness of our proposal.
Original languageEnglish
Title of host publicationBusiness Information Systems
Subtitle of host publication23rd International Conference on Business Information Systems
EditorsWitold Abramowicz, Gary Klein
PublisherSpringer Verlag
Number of pages12
ISBN (Electronic)978-3-030-53337-3
ISBN (Print)978-3-030-53336-6
Publication statusPublished - 22 Jul 2020
EventInternational Conference on Business Information Systems - University of Colorado, Colorado Springs, United States
Duration: 8 Jun 202010 Jun 2020
Conference number: 23

Publication series

NameLecture Notes in Business Information Processing


ConferenceInternational Conference on Business Information Systems
Abbreviated titleBIS
CountryUnited States
CityColorado Springs
Internet address

    Research areas

  • customer networks, complex network construction, multiple instance similarities, Customer Purchasing Behaviors, Community detection

ID: 50059528