Comparison of market basket analysis to determine consumer purchasing patterns using fp-growth and apriori algorithm

AA Aldino, ED Pratiwi, S Sintaro… - … on Computer Science …, 2021 - ieeexplore.ieee.org
The development of technology in the field of business grows rapidly day by day. The use of
technology in business can help company deploying best business strategies to compete …

Applications of machine learning in knowledge management system: a comprehensive review

CGK Simon, NZ Jhanjhi, WW Goh… - Journal of Information & …, 2022 - World Scientific
As new generations of technology appear, legacy knowledge management solutions and
applications become increasingly out of date, necessitating a paradigm shift. Machine …

Analisa Pola Transaksi Pembelian Konsumen Pada Toko Ritel Kesehatan Menggunakan Algoritma FP-Growth

F Achmad, O Nurdiawan, YA Wijaya - JATI (Jurnal Mahasiswa …, 2023 - ejournal.itn.ac.id
Competition in the world of retail business today requires companies to continue to find
various kinds of strategies and creativity in running a business. CV Harmoni Medicine …

Wipe: A novel web-based intelligent packaging evaluation via machine learning and association mining

M Tavasoli, E Lee, Y Mousavi, HB Pasandi… - IEEE Access, 2024 - ieeexplore.ieee.org
This paper introduces the Web-Based Intelligent Packaging Evaluation (WIPE) platform, a
novel approach to assess the performance of product and packaging systems within the e …

[PDF][PDF] 基于审计日志的关联规则挖掘

王京, 谭玉波, 邢晓萧 - 科学技术与工程, 2022 - stae.com.cn
摘要为解决审计日志信息利用不充分的问题ꎬ 通过改进FP-Growth 方法研究了审计日志关联
规则ꎬ 提出了基于相互关联规则的KAFP-Growth 算法ꎮ 将现有的审计日志与先进的数据挖掘 …

Multi-objective optimization for high-dimensional maximal frequent itemset mining

Y Zhang, W Yu, X Ma, H Ogura, D Ye - Applied Sciences, 2021 - mdpi.com
The solution space of a frequent itemset generally presents exponential explosive growth
because of the high-dimensional attributes of big data. However, the premise of the big data …

Hybrid Approaches for Customer Segmentation and Product Recommendation

MFS Putra, A Aswie, IS Edbert… - … Multimedia, Cyber and …, 2023 - ieeexplore.ieee.org
The trend of influencer marketing is increasing massively in the digital age. Despite this, the
majority of marketing strategies are still not optimally using this trend. Marketing strategies …

Analysis of customer purchase behavior using association rules in e-shop

S Diwandari, U Zaky - 2021 IEEE 5th International Conference …, 2021 - ieeexplore.ieee.org
Modern forms of trade and sales support systems are meant to give organizations flexibility
when it comes to evaluating sales. It is essential to identify customer buying behavior to …

Comparative analysis of apriori and ECLAT algorithm for frequent itemset data mining

MS Krishnan, AS Nair, J Sebastian - Ubiquitous Intelligent Systems …, 2022 - Springer
Frequent itemset data mining is the generation of association rules from a transactional
dataset. For example, in a supermarket if bread and butter is placed nearby then the …

Real Market Basket Analysis using Apriori and Frequent Pattern Tree Algorithm

MA Christian, N Nathanael, A Mauliani… - Proceedings of the …, 2021 - dl.acm.org
Recently, data mining has been implemented in various fields, including business and
telecommunications. Data mining is a technique for extracting and detecting patterns in …