Application of Data Mining Techniques to Supermarket Databases

Wenxiao Ye

2024

Abstract

With the rapid development of information technology, data mining technology serves as an important data analysis tool to mine the laws and information behind the data. As a typical retail business, a supermarket has a large amount of sales data and consumer information and thus has a broad prospect of data mining applications. This paper discusses the application of data mining in databases and focuses on its practice in supermarket databases. Data mining can be used for predictive analysis, customer relationship management, etc., which provides help for database management. Meanwhile, data mining faces challenges, including problems in computational efficiency, data quality and privacy protection. In the future, deep learning, graph databases and incremental learning algorithms will become important tools for data mining in databases to meet the challenges of complex data structures, large-scale data and real-time processing. The research in this paper provides an important reference and guidance for applying data mining in databases, which is important for promoting data-driven decision making and business development.

Paper Citation

in Harvard Style

Ye W. (2024). Application of Data Mining Techniques to Supermarket Databases. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 719-723. DOI: 10.5220/0012969700004508

in Bibtex Style

@conference{emiti24,
author={Wenxiao Ye},
title={Application of Data Mining Techniques to Supermarket Databases},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={719-723},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012969700004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Application of Data Mining Techniques to Supermarket Databases
SN - 978-989-758-713-9
AU - Ye W.
PY - 2024
SP - 719
EP - 723
DO - 10.5220/0012969700004508
PB - SciTePress