Data Mining Techniques in Decision Making
Data mining aims to find relevant information for decision-making, forecasting, optimising, and other business or research reasons. In this study, data mining is used in the domain of decision-making. Various problems for this domain exist in the literature, including selection problems, considerin...
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| Format: | Article |
| Language: | English |
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National University of Modern Languages (NUML), Islamabad
2023-07-01
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| Series: | NUML International Journal of Engineering and Computing |
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| Online Access: | https://nijec.numl.edu.pk/index.php/nijec/article/view/39 |
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| _version_ | 1850108008638447616 |
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| author | Amna Sajid Basit Amin |
| author_facet | Amna Sajid Basit Amin |
| author_sort | Amna Sajid |
| collection | DOAJ |
| description |
Data mining aims to find relevant information for decision-making, forecasting, optimising, and other business or research reasons. In this study, data mining is used in the domain of decision-making. Various problems for this domain exist in the literature, including selection problems, considering unnecessary attributes, and removing irrelevant attributes in the dataset by applying different preprocessing techniques. For this purpose, a smartphone dataset is used, and different machine learning classifiers are applied. Decision Tree, Naive Bayes, SMO, bagging, and Random Forest were chosen for precision, recall, and F-measure. Results demonstrate that Random Forest obtains 57% accuracy and performs better on average than the other algorithms. The class "Saving Account" was classified with 52% accuracy as of the other attributes, but it has the fewest errors depending on the attributes. This study can be extended by applying the proposed methodology to a rich volume dataset and deep-learning techniques.
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| format | Article |
| id | doaj-art-689cd8b986f94dcc90e418e539d815ba |
| institution | OA Journals |
| issn | 2788-9629 2791-3465 |
| language | English |
| publishDate | 2023-07-01 |
| publisher | National University of Modern Languages (NUML), Islamabad |
| record_format | Article |
| series | NUML International Journal of Engineering and Computing |
| spelling | doaj-art-689cd8b986f94dcc90e418e539d815ba2025-08-20T02:38:28ZengNational University of Modern Languages (NUML), IslamabadNUML International Journal of Engineering and Computing2788-96292791-34652023-07-012110.52015/nijec.v2i1.39Data Mining Techniques in Decision MakingAmna Sajid0Basit Amin1National University of Computer Emerging Sciences, IslamabadRiphah International University, Islamabad Data mining aims to find relevant information for decision-making, forecasting, optimising, and other business or research reasons. In this study, data mining is used in the domain of decision-making. Various problems for this domain exist in the literature, including selection problems, considering unnecessary attributes, and removing irrelevant attributes in the dataset by applying different preprocessing techniques. For this purpose, a smartphone dataset is used, and different machine learning classifiers are applied. Decision Tree, Naive Bayes, SMO, bagging, and Random Forest were chosen for precision, recall, and F-measure. Results demonstrate that Random Forest obtains 57% accuracy and performs better on average than the other algorithms. The class "Saving Account" was classified with 52% accuracy as of the other attributes, but it has the fewest errors depending on the attributes. This study can be extended by applying the proposed methodology to a rich volume dataset and deep-learning techniques. https://nijec.numl.edu.pk/index.php/nijec/article/view/39Data mining, Classification, Decision Trees, Random Forest, Decision Making, Marketing |
| spellingShingle | Amna Sajid Basit Amin Data Mining Techniques in Decision Making NUML International Journal of Engineering and Computing Data mining, Classification, Decision Trees, Random Forest, Decision Making, Marketing |
| title | Data Mining Techniques in Decision Making |
| title_full | Data Mining Techniques in Decision Making |
| title_fullStr | Data Mining Techniques in Decision Making |
| title_full_unstemmed | Data Mining Techniques in Decision Making |
| title_short | Data Mining Techniques in Decision Making |
| title_sort | data mining techniques in decision making |
| topic | Data mining, Classification, Decision Trees, Random Forest, Decision Making, Marketing |
| url | https://nijec.numl.edu.pk/index.php/nijec/article/view/39 |
| work_keys_str_mv | AT amnasajid dataminingtechniquesindecisionmaking AT basitamin dataminingtechniquesindecisionmaking |