Market-Based Analysis: Apriori approach to analyze purchase patterns
DOI:
https://doi.org/10.4108/eetsis.3355Keywords:
Data Mining, Apriori AlgorithmAbstract
In this paper, a data mining approach has been developed to analyze customer behavioral patterns and to get a further idea of the scale of the products purchased. Using the approach we found the best and least performing products, the average number of the products that the customer is interested in buying, And using the apriori algorithm we can generate the frequent items which can be bought together which will help us in suggesting products for the customer to buy. Each pattern is supported by the support and confidence generated using the apriori algorithm.
References
Luna JM, Fournier‐Viger P, Ventura S (2019) Frequent itemset mining: A 25 years review. WIREs Data Mining and Knowledge Discovery 9. doi: 10.1002/widm.1329
Zhao, Qiankun, and Sourav Bhowmick. “Association Rule Mining: A Survey.” Nanyang Technological University - NTU Singapore, Nanyang Technological University, Singapore, 2003, pp. 6–11, personal.ntu.edu.sg/assourav/Unpublished/UP-ARMSurvey.pdf. No. 2003116.
Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., & Verkamo, A. I. (1996). Fast discovery of association rules. Advances in knowledge discovery and data mining, 12(1), 307-328.
Agrawal, Rakesh, et al. “Mining Association Rules between Sets of Items in Large Databases.” ACM SIGMOD Record, vol. 22, no. 2, 1993, pp. 207–216., https://doi.org/10.1145/170036.170072.
Al-Maolegi M, Arkok B (2014) An Improved Apriori Algorithm For Association Rules. International Journal on Natural Language Com DOIing 3:21–29. doi: 10.5121/ijnlc.2014.3103
Sinha, Anurag. “Implying Association Rule Mining and Market Basket Analysis for Knowing Consumer Behavior and Buying Pattern in Lockdown - a Data Mining Approach.” 2021, https://doi.org/10.20944/preprints202105.0102.v1.
Qisman, M, et al. “Market Basket Analysis Using Apriori Algorithm to Find Consumer Patterns in Buying Goods through Transaction Data (Case Study of Mizan Computer Retail Stores).” Journal of Physics: Conference Series, vol. 1722, no. 1, 2021, p. 012020., https://doi.org/10.1088/1742-6596/1722/1/012020.
Hermaliani, Eni Heni, et al. “Data Mining Technique to Determine the Pattern of Fruits Sales & Supplies Using Apriori Algorithm.” Journal of Physics: Conference Series, vol. 1641, no. 1, 2020, p. 012070., https://doi.org/10.1088/1742-6596/1641/1/012070.
Kurniawan, Fachrul, et al. “Market Basket Analysis to Identify Customer Behaviours by Way of Transaction Data.” Knowledge Engineering and Data Science, vol. 1, no. 1, 2017, p. 20., https://doi.org/10.17977/um018v1i12018p20-25.
Efrat, A R, et al. “Consumer Purchase Patterns Based on Market Basket Analysis Using Apriori Algorithms.” Journal of Physics: Conference Series, vol. 1524, no. 1, 2020, p. 012109., https://doi.org/10.1088/1742-6596/1524/1/012109.
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Copyright (c) 2023 Bharadhwaj Reddy Lekireddy, Naga Sai Ram Reddybathina, G Michael, Sachi Nandan Mohanty
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