Association Mining Techniques for Enterprise Digital Development Data Based on Apriori Algorithm
Year: 2024
Type: conference-paper
Abstract: Enterprises need to deal with multidimensional data and huge amount of information during digital transformation. Data mining can extract valuable information from raw data. Association analysis can reflect the interdependence between one thing and other things, thus quantifying the degree of association between factors. In this paper, the association mining technique based on Apriori algorithm is applied to enterprises for case study. Enterprises through Apriori algorithm for user analysis, can optimise the recommendation, thus improving the user experience. Carrying out risk data data, it can discover the correlation relationship between potential risk factors and risk events, prevent risk events, and thus reduce business risks. Conducting correlation analysis of the data of the management system can dig out its hidden value and provide data support for the scientific management of the enterprise, so as to optimize decision-making.
Author: Ying Wang
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4403569272