Deep Mining Technology of Database Information Based on Artificial Intelligence Technology

Author:

Zhao Xiaoai1

Affiliation:

1. School of Mathematics and Statistics, Zaozhuang University, China

Abstract

The database is the core of the information management system. When there is no modern management tool such as enterprise information management system, the status of enterprise resources and the direction of adjustment are unclear, and it is quite difficult to make adjustment arrangements. In order to improve the information mining ability of enterprise database in the future, this paper combines intelligent optimization technology under artificial intelligence technology with information mining technology, and compares its information mining ability with traditional technology. The research results show that after using the intelligent optimization algorithm, the maximum mining times can reach 60 times/min, while the maximum mining times of the traditional algorithm is 33 times/min. This shows that the mining speed of the intelligent optimization algorithm used in this paper is much higher than that of the traditional algorithm. And the mining speed of enterprises transformed through intelligent optimization is nearly 40% higher than that of traditional algorithms.

Publisher

IGI Global

Subject

General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Algorithm Design and Optimization of Data Mining Technology in Reader Service Recommendation System;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

2. Design and Implementation of a Portable Digital Energy Measurement Field Diagnosis Instrument Based on DBN;2023 5th International Conference on Electrical Engineering and Control Technologies (CEECT);2023-12-15

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