
USE OF ASSOCIATION RULES TO PERFORM THE MINING OF A MARKETING DATABASE COMERCIAL
Author(s) -
Priscilla Leão de Lima,
Richardyson Nobrega da Fonseca,
Rilmar Pereira Gomes,
David Barbosa de Alencar
Publication year - 2021
Language(s) - English
Resource type - Journals
ISSN - 2411-2933
DOI - 10.31686/ijier.vol9.iss4.3033
Subject(s) - apriori algorithm , association rule learning , database marketing , order (exchange) , marketing , business , customer relationship management , database , association (psychology) , data mining , computer science , marketing management , data science , relationship marketing , psychology , finance , psychotherapist
Currently, companies seek to find methods to analyze their customer behaviors and profiles. From this, a case study was carried out in a drugstore, in which the data mining technique and the Apriori algorithm were applied, for a better understanding. of your sales. First, a bibliographic survey on data mining and its tasks was carried out. Soon the sales made and their respective products were examined. Finally, marketing standards were presented according to the data analyzed, in order to assist the organizational management and marketing of the examined company.