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A Data Mining Algorithm for Association Rules with Chronic Disease Constraints
The Apriori algorithm in association rules is the main algorithm used in the treatment and prevention of chronic diseases in data mining, and the algorithm in the current stage of China's medical field of association between chronic diseases has some problems, such as the need to scan the trans...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427230/ https://www.ncbi.nlm.nih.gov/pubmed/36052052 http://dx.doi.org/10.1155/2022/8526256 |
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author | Liu, YanRong Wang, LiJun Miao, Rong Ren, HengNi |
author_facet | Liu, YanRong Wang, LiJun Miao, Rong Ren, HengNi |
author_sort | Liu, YanRong |
collection | PubMed |
description | The Apriori algorithm in association rules is the main algorithm used in the treatment and prevention of chronic diseases in data mining, and the algorithm in the current stage of China's medical field of association between chronic diseases has some problems, such as the need to scan the transaction database of cases several times, producing a large data set and more redundant rules. To address the above problems, a data mining algorithm of association rules combining clustering matrix and pruning strategy is proposed, which improves the algorithm by using the clustering matrix method to compress the stored transaction database and introducing the prepruning and postpruning strategy methods on the basis of adding constraint conditions. The experimental results show that the optimization algorithm has unique advantages in reducing the number of database scans and the number of candidate item sets generated and ultimately greatly reduces the running time and I/O load of the algorithm, and the running efficiency of the algorithm is greatly improved. |
format | Online Article Text |
id | pubmed-9427230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94272302022-08-31 A Data Mining Algorithm for Association Rules with Chronic Disease Constraints Liu, YanRong Wang, LiJun Miao, Rong Ren, HengNi Comput Intell Neurosci Research Article The Apriori algorithm in association rules is the main algorithm used in the treatment and prevention of chronic diseases in data mining, and the algorithm in the current stage of China's medical field of association between chronic diseases has some problems, such as the need to scan the transaction database of cases several times, producing a large data set and more redundant rules. To address the above problems, a data mining algorithm of association rules combining clustering matrix and pruning strategy is proposed, which improves the algorithm by using the clustering matrix method to compress the stored transaction database and introducing the prepruning and postpruning strategy methods on the basis of adding constraint conditions. The experimental results show that the optimization algorithm has unique advantages in reducing the number of database scans and the number of candidate item sets generated and ultimately greatly reduces the running time and I/O load of the algorithm, and the running efficiency of the algorithm is greatly improved. Hindawi 2022-08-23 /pmc/articles/PMC9427230/ /pubmed/36052052 http://dx.doi.org/10.1155/2022/8526256 Text en Copyright © 2022 YanRong Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, YanRong Wang, LiJun Miao, Rong Ren, HengNi A Data Mining Algorithm for Association Rules with Chronic Disease Constraints |
title | A Data Mining Algorithm for Association Rules with Chronic Disease Constraints |
title_full | A Data Mining Algorithm for Association Rules with Chronic Disease Constraints |
title_fullStr | A Data Mining Algorithm for Association Rules with Chronic Disease Constraints |
title_full_unstemmed | A Data Mining Algorithm for Association Rules with Chronic Disease Constraints |
title_short | A Data Mining Algorithm for Association Rules with Chronic Disease Constraints |
title_sort | data mining algorithm for association rules with chronic disease constraints |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427230/ https://www.ncbi.nlm.nih.gov/pubmed/36052052 http://dx.doi.org/10.1155/2022/8526256 |
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