Market Basket Analysis Using Rule-Based Algorithms and Data Mining Techniques
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866917879580983296 |
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| author | Kholod, Marina Mokrenko, Nikita |
| author_facet | Kholod, Marina Mokrenko, Nikita |
| contents | The research identifies association rules that can inform marketing strategies and enhance operational efficiency. A structured methodology is applied to extract and interpret meaningful relationships within transactional data, emphasizing their implications for managerial decision-making. By demonstrating the potential of data mining to transform raw data into valuable business insights, this paper provides a framework for using analytical tools to improve customer engagement and competitive positioning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_18699 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Market Basket Analysis Using Rule-Based Algorithms and Data Mining Techniques Kholod, Marina Mokrenko, Nikita Databases General Economics Economics The research identifies association rules that can inform marketing strategies and enhance operational efficiency. A structured methodology is applied to extract and interpret meaningful relationships within transactional data, emphasizing their implications for managerial decision-making. By demonstrating the potential of data mining to transform raw data into valuable business insights, this paper provides a framework for using analytical tools to improve customer engagement and competitive positioning. |
| title | Market Basket Analysis Using Rule-Based Algorithms and Data Mining Techniques |
| topic | Databases General Economics Economics |
| url | https://arxiv.org/abs/2412.18699 |