Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction
Feature Selection (FS) is employed in the Machine Learning (ML) process to increase accuracy. Eliminating redundant and irrelevant variables while keeping the most important ones boosts the prediction capacity of the algorithms. FS is essential because of this. The current paper delves into entropy-...
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| Format: | Article |
| Language: | English |
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REA Press
2024-09-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_205922_082b61f4855b8b0c2de79aba7126127d.pdf |
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| author | Ismail Mageed |
| author_facet | Ismail Mageed |
| author_sort | Ismail Mageed |
| collection | DOAJ |
| description | Feature Selection (FS) is employed in the Machine Learning (ML) process to increase accuracy. Eliminating redundant and irrelevant variables while keeping the most important ones boosts the prediction capacity of the algorithms. FS is essential because of this. The current paper delves into entropy-based FS, which emphasizes the phenomenal role of entropy in developing numerous interdisciplinary fields of human knowledge, including ML. More potentially, some significant applications of entropy-based FS to the Internet of Things (IoT) and breast cancer prediction are provided. |
| format | Article |
| id | doaj-art-15cfa3258105406988de0cbaec2a14ba |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2024-09-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-15cfa3258105406988de0cbaec2a14ba2025-01-30T12:23:36ZengREA PressBig Data and Computing Visions2783-49562821-014X2024-09-014317017910.22105/bdcv.2024.479315.1203205922Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer predictionIsmail Mageed0AIMMA, IEEE, IAENG School of Computer Science, AI and Electronics University of Bradford, UK.Feature Selection (FS) is employed in the Machine Learning (ML) process to increase accuracy. Eliminating redundant and irrelevant variables while keeping the most important ones boosts the prediction capacity of the algorithms. FS is essential because of this. The current paper delves into entropy-based FS, which emphasizes the phenomenal role of entropy in developing numerous interdisciplinary fields of human knowledge, including ML. More potentially, some significant applications of entropy-based FS to the Internet of Things (IoT) and breast cancer prediction are provided.https://www.bidacv.com/article_205922_082b61f4855b8b0c2de79aba7126127d.pdfentropymachine learningfeature selectionentropy-based feature selection |
| spellingShingle | Ismail Mageed Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction Big Data and Computing Visions entropy machine learning feature selection entropy-based feature selection |
| title | Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction |
| title_full | Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction |
| title_fullStr | Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction |
| title_full_unstemmed | Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction |
| title_short | Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction |
| title_sort | entropy based feature selection with applications to industrial internet of things iot and breast cancer prediction |
| topic | entropy machine learning feature selection entropy-based feature selection |
| url | https://www.bidacv.com/article_205922_082b61f4855b8b0c2de79aba7126127d.pdf |
| work_keys_str_mv | AT ismailmageed entropybasedfeatureselectionwithapplicationstoindustrialinternetofthingsiotandbreastcancerprediction |