摘要
本文主要以大数据的分类挖掘技术及其创新发展为重点内容,以当下数据挖掘相关概述为主要依据,从数据挖掘的分类算法、大数据的统计性特征、大数据分类挖掘的实现这三方面进行深入探索与研究,其目的在于提高大数据的利用率,以推动我国社会经济持续稳定的发展,为增强我国核心竞争力提供有利条件。
This paper mainly focuses on the classification and optimization of big data mining and optimization technology innovation development,combining with the current data mining overview as the main basis,from the main classification algorithms of data mining,the statistical characteristics of big data and the implementation of big data classification mining in-depth exploration and research of the three sides. It is to improve the utilization ratio of big data in order to promote sustained and stable development of our social economy and provide favorable conditions for enhancing our core competitiveness.
作者
文世敏
WEN Shimin(Yunnan Vocational College of Mechanical and Electrical Technology,Kunming 650203,China)
出处
《现代信息科技》
2018年第7期87-89,共3页
Modern Information Technology
关键词
大数据
信息融合
分类挖掘
聚类空间划分
特征提取
big data
information fusion
classification mining
clustering space partition
feature extraction