摘要
在动态数据流挖掘过程中,对数据流进行聚类,把未知的数据流划分或者生成到一个簇中.发现隐含的知识、价值和模式,是一种非常有效的数据流挖掘技术.分析和研究了数据流挖掘的聚类算法,并对数据流聚类技术发展进行了展望,提出了数据流挖掘的研究方向.
In the process of dynamic data stream mining, the data stream is divided and the unknown data stream is classified into a cluster. The implicit knowledge, values and mode are found. It is a kind of very effective data stream mining technology. It has analyzed and studied the clustering algorithm of data stream mining, and prospected the development of clustering technology in data stream and put forward the direction of data stream mining.
出处
《衡水学院学报》
2015年第1期16-18,共3页
Journal of Hengshui University
关键词
数据流
挖掘
聚类
算法
data stream
mining
cluster
algorithm
