scholarly journals The Analysis of Consumers’ Housing Purchase Intention Based on Apriori Association Rule Mining—A Case Study of North Kunming District

2016 ◽  
Vol 05 (03) ◽  
pp. 215-224
Author(s):  
梦迪 翟
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Purchase Intention ◽  
Rule Mining

scholarly journals Association Rules Mining for Hospital Readmission: A Case Study

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2706
Author(s):  
Nor Hamizah Miswan ◽  
‘Ismat Mohd Sulaiman ◽  
Chee Seng Chan ◽  
Chong Guan Ng
Keyword(s):  
Association Rule ◽  
Hospital Readmission ◽  
Association Rule Mining ◽  
Demographic Variables ◽  
Apriori Algorithm ◽  
Age Group ◽  
Rule Mining ◽  
Learning Rules ◽  
And Performance

As an indicator of healthcare quality and performance, hospital readmission incurs major costs for healthcare systems worldwide. Understanding the relationships between readmission factors, such as input features and readmission length, is challenging following intricate hospital readmission procedures. This study discovered the significant correlation between potential readmission factors (threshold of various settings for readmission length) and basic demographic variables. Association rule mining (ARM), particularly the Apriori algorithm, was utilised to extract the hidden input variable patterns and relationships among admitted patients by generating supervised learning rules. The mined rules were categorised into two outcomes to comprehend readmission data; (i) the rules associated with various readmission length and (ii) several expert-validated variables related to basic demographics (gender, race, and age group). The extracted rules proved useful to facilitate decision-making and resource preparation to minimise patient readmission.

Souvenir Sales Analysis using Apriori Algorithm (Case Study: Ubud-Market Transaction in March 2020)

2021 ◽  
Vol 10 (1) ◽  
pp. 73
Author(s):  
Muhammad Firyanul Rizky ◽  
I Gusti Agung Gede Arya Kadyanan
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Marketing Strategies ◽  
Apriori Algorithm ◽  
Rule Mining ◽  
Minimum Support ◽  
Track Record ◽  
Market Transaction ◽  
Transaction Database

Ubud market is one of the largest art markets in Bali, there are many local Balinese souvenir traders and craftspeople, most of them are livelihoods depend on buying and selling local souvenirs, Since the Covid-19 pandemic entered in April 2020, Ubud market traders have started to close their business and hoping economic recoveryin future. The author tries to do a track record of souvenir sales transactions in Ubud market to find the last sales pattern before the traders closes their business to give a solution for marketing strategies in future. The sales transaction data will just become meaningless trash if it’s useless.. To get use information about the products that are most sold out at Ubud Market from the transaction database, the author uses the Apriori algorithm. This study was determined final rules on 2 itemset combination, If buying Manik-Manik Craft, Also buy Barong Shirt with the highest confidence 70% and Minimum Support 28%, and for 3 itemset a combination, If buying Celuk Silver, and Barong Shirt, Also buy Manik-Manik Craft with the highest confidence 37.5% and Minimum Support 12%, based on that there are 3 best-selling souvenir products, namely Barong Shirt, Manik-Manik Craft and Silver-Celuk in March 2020. Keywords: Apriori Algorithm, Data Mining, Sales Analysis, Association Rule Mining, Ubud Market.

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