Designing a mobile based-application using Apriori algorithm: A Business development strategy during pandemic COVID-19
- DOI
- 10.2991/assehr.k.220404.315How to use a DOI?
- Keywords
- E-commerce; Data mining; Market Basket Analysis; Apriori Algorithm; Association Rules
- Abstract
It is very crucial for retailers to improve their marketing and customer relationship management strategies. Hence, this paper will cover the topic about how to utilize the association rule method to analyse the customers’ purchasing behaviour and patterns based on market basket analysis. Association rule method can find the relationships between large data set of secondary files from several e-commerce platforms. This method can be performed by utilizing the cutting-edge data innovation and programming applications like data mining and Apriori algorithm libraries of Python programming language in Anaconda Navigator. By applying this Apriori algorithm, the transaction data obtained in case studies becomes easier to manage.
- Copyright
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Anastasia Aurelia AU - Ni Putu Leona Yorita Dewi AU - Willy Tanupratala AU - Zafira Tsaqifah AU - Lina Lina PY - 2022 DA - 2022/04/21 TI - Designing a mobile based-application using Apriori algorithm: A Business development strategy during pandemic COVID-19 BT - Proceedings of the 3rd Tarumanagara International Conference on the Applications of Social Sciences and Humanities (TICASH 2021) PB - Atlantis Press SP - 1928 EP - 1935 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220404.315 DO - 10.2991/assehr.k.220404.315 ID - Aurelia2022 ER -