Optimization Simulation of Cultural Communication Algorithm Based on Artificial Intelligence Data Mining Technology

• Published in: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) pp. 1 - 5
• Main Authors: Wang, Ziwei, Dadparvar, Shabnam
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.02.2023
• Subjects: algorithm optimization simulation; Analytical models; artificial intelligence; cultural communication; Cultural differences; Data mining; Global communication; Media; Reflection; Search problems
• DOI: 10.1109/ICICACS57338.2023.10099589

Aiming at the problems of low search efficiency, high residual mining rate, and long data mining (DM) cycle time under the current big data background, a big DM algorithm based on artificial intelligence architecture was proposed. This paper aims to study the optimization simulation of cultural communication algorithm based on artificial intelligence DM technology. This paper analyzes the definition and process of DM, the method of big DM algorithm and the optimization simulation experiment of cultural communication algorithm based on artificial intelligence DM technology, and draws the experimental results. The empirical results show that the use of. After artificial intelligence DM technology, the performance of traditional cultural communication algorithm is greatly improved. We conducted a survey and found that more than 79% people think that the design and optimization of cultural communication algorithm is suitable for artificial intelligence algorithm, which improves the design efficiency.