A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset
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...
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University of Baghdad, College of Science for Women
2023-10-01
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| Series: | مجلة بغداد للعلوم |
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| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7571 |
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| author | Yahya Asmar Zakur Seyed Bagher Mirashrafi Laith Rezouki Flaih |
| author_facet | Yahya Asmar Zakur Seyed Bagher Mirashrafi Laith Rezouki Flaih |
| author_sort | Yahya Asmar Zakur |
| collection | DOAJ |
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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.
|
| format | Article |
| id | doaj-art-e8023482b22f4346a7ae63457d2ce2a3 |
| institution | DOAJ |
| issn | 2078-8665 2411-7986 |
| language | English |
| publishDate | 2023-10-01 |
| publisher | University of Baghdad, College of Science for Women |
| record_format | Article |
| series | مجلة بغداد للعلوم |
| spelling | doaj-art-e8023482b22f4346a7ae63457d2ce2a32025-08-20T03:19:11ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862023-10-01205(Suppl.)10.21123/bsj.2023.7571A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control DatasetYahya Asmar Zakur0Seyed Bagher Mirashrafi1Laith Rezouki Flaih2Department of Statistics, Faculty of Mathematical Science, University of Mazandaran, Mazandaran, Iran.Department of Statistics, Faculty of Mathematical Science, University of Mazandaran, Mazandaran, IranDepartment of computer, College of Sciences, Cihan University, Erbil, Iraq 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. https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7571Machine learning, Apriori Algorithm, apriori mlxtend, Hospital Readmission, Association Rule Mining, Performance of Algorithms. |
| spellingShingle | Yahya Asmar Zakur Seyed Bagher Mirashrafi Laith Rezouki Flaih A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset مجلة بغداد للعلوم Machine learning, Apriori Algorithm, apriori mlxtend, Hospital Readmission, Association Rule Mining, Performance of Algorithms. |
| title | A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset |
| title_full | A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset |
| title_fullStr | A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset |
| title_full_unstemmed | A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset |
| title_short | A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset |
| title_sort | comparative study on association rule mining algorithms on the hospital infection control dataset |
| topic | Machine learning, Apriori Algorithm, apriori mlxtend, Hospital Readmission, Association Rule Mining, Performance of Algorithms. |
| url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7571 |
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