Analysis of Customer Product Interests using the Market Basket Analysis Model with Hash-Based Algorithm and Association Rules
Author:
Affiliation:
1. Universitas Amikom Purwokerto,Information Systems Departement,Purwokerto,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10031261/10031263/10031409.pdf?arnumber=10031409
Reference18 articles.
1. Core and Spectrum Allocation Based on Association Rules Mining in Spectrally and Spatially Elastic Optical Networks
2. Association Rules Mining Among Interests and Applications for Users on Social Networks
3. An Improved Evaluation Methodology for Mining Association Rules
4. An intelligent system based on optimized ANFIS and association rules for power transformer fault diagnosis
5. Study of application of data mining market basket analysis for knowing sales pattern (association of items) at the O! Fish restaurant using apriori algorithm
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1. Enhancing Data Collection for Market Basket Analysis Through CNN Object Detection;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19
2. Unveiling Patterns in the Night Market: A Machine Learning Approach to Customer Segmentation and Market Basket Analysis;2023 7th International Conference on Information Technology (InCIT);2023-11-16
3. Shopping Cart Analysis Using Apriori Algorithm and Association Rules;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16
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