A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset
Open Access
- 20 March 2023
- journal article
- research article
- Published by College of Science for Women in Baghdad Science Journal
- Vol. 20 (5), 2056-2066
- https://doi.org/10.21123/bsj.2023.7571
Abstract
Administrative procedures in various organizations produce numerous crucial records and data. These records and data are also used in other processes like customer relationship management and accounting operations.It is incredibly challenging to use and extract valuable and meaningful information from these data and records because they are frequently enormous and continuously growing in size and complexity.Data mining is the act of sorting through large data sets to find patterns and relationships that might aid in the data analysis process of resolving business issues. Using data mining techniques, enterprises can forecast future trends and make better business decisions.The Apriori algorithm has been introduced to calculate the association rules between objects; the primary goal of this algorithm is to establish an association rule between various things. The association rule describes how two or more objects are related.We have employed the Apriori property and Apriori Mlxtend algorithms in this study and we applied them on the hospital database; and, by using python coding, the results showed that the performance of Apriori Mlxtend was faster, and it was 0.38622, and the Apriori property algorithm was 0.090909. That means the Apriori Mlxtend was better than the Apriori property algorithm.Keywords
This publication has 15 references indexed in Scilit:
- Constructing a Software Tool for Detecting Face Mask-wearing by Machine LearningBaghdad Science Journal, 2022
- NWP-Miner: Nonoverlapping weak-gap sequential pattern miningInformation Sciences, 2022
- Rhythmus periodic frequent pattern mining without periodicity thresholdJournal of Ambient Intelligence and Humanized Computing, 2022
- Data mining-based cause identification of momentary outages in power distribution systemsSustainable Cities and Society, 2021
- Spatio‐temporal data mining method for joint cracks in concrete dam based on association rulesStructural Control and Health Monitoring, 2021
- Self-adaptive nonoverlapping sequential pattern miningApplied Intelligence, 2021
- Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation AnalysisBaghdad Science Journal, 2021
- Application of Association Rule:Apriori Algorithm in E-CommercePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2021
- An improved association rule mining algorithm for large dataJournal of Intelligent Systems, 2021
- A Spark-based Apriori algorithm with reduced shuffle overheadThe Journal of Supercomputing, 2020