摘要
实际应用、大数据、挖掘算法和处理平台4个要素的紧密结合构成了大数据挖掘的核心.根据大数据的特征,分析相关案例,指出实际应用的真实需求才是大数据挖掘的目标.大数据挖掘的价值体现必须结合应用数据和与应用匹配的算法,在数据处理平台的支持下,将挖掘到的知识或模型去指导实践.
The core of large data mining are composed of the four elements which are practical application,largedata, mining algorithm and processing platform. According to the characteristics of large data, the relevant cases are analyzed and the goal of large data mining of the real needs of practical applications are pointed out. The value of large data mining must be combined with application data and algorithm matching with the application. With the support of the data processing platform , the practice is guided by the knowledge or model.
出处
《哈尔滨师范大学自然科学学报》
CAS
2017年第1期75-78,共4页
Natural Science Journal of Harbin Normal University
关键词
数据挖掘
大数据
应用驱动
Datamining
Largedata
Application - driven