基于人工智能的大数据挖掘系统构建

Zilong Xu, Yong Zhu
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引用次数: 0

摘要

数据是人们通过信息世界认识现实世界的基础和智慧来源。海量数据是计算机网络的基础,与人们的生活息息相关。但随着数据量的不断增加,人们也即将面临数据崩溃和无序的危险。因此,对BDM系统进行优化是十分必要的。本文是基于人工智能技术对大DM系统进行改进。首先,阐述了大数据的特点和数据管理的概念;然后,在传统DM技术的基础上,研究人工智能技术对BDM系统进行改进和优化。最后,对改进后的BDM系统进行了性能测试,并与传统技术进行了比较。实验结果表明,改进后的BDM系统提高了数据分类的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Big Data Ming System Based on Artificial Intelligence
Data is the foundation and source of wisdom for people to understand the real world through the world of information. Massive data is the foundation of computer networks, and people's lives are closely related to it. But with the increasing amount of data, people are also about to face the danger of data collapse and disorder. Therefore, it is very necessary to optimize the BDM system. This article is based on artificial intelligence technology to improve the big DM system. First, the characteristics of big data(BD) and the concept of DM are explained; then, on the basis of traditional DM technology, artificial intelligence technology is studied to improve and optimize the BDM system. Finally, the performance of the improved BDM system is tested and compared with the traditional technology. The test results show that the improved BDM system improves the efficiency of data classification.
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