摘要
讨论了统计学方法在数据挖掘中的主要应用,包括贝叶斯分类法和用于连续值预测的线性回归统计技术建模,以及基于统计学的概念聚类方法,并分析了算法的有效性和局限性.
Finding the structure from data is the common goal of the statistics and data mining .we discussed the primary application of statistics method in data min-ing.It includes Bayesion classification,the linear regression statistics modeling used in the continuous value prediction,and the concept clustering based on statistics.At the same time,we analysed the validity and localization of these algorithms.
出处
《喀什师范学院学报》
2003年第6期60-63,66,共5页
Journal of Kashgar Teachers College
关键词
数据挖掘
统计学
贝叶斯分类法
线性回归
聚类分析
Data mining
Statistics
Bayesion Classification
Linear Regression
Clustering
