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统计学方法在数据挖掘中的应用与评价
The Application and Evaluation of the Statistics Method in Data Mining
【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.
【Abstract】 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.
【关键词】 数据挖掘;
统计学;
贝叶斯分类;
线性回归;
聚类;
【Key words】 Data mining; Statistics; Bayesion Classification; Linear Regression; Clustering;
【Key words】 Data mining; Statistics; Bayesion Classification; Linear Regression; Clustering;
- 【文献出处】 喀什师范学院学报 ,Journal of Kashgar Teachers College , 编辑部邮箱 ,2003年06期
- 【分类号】O212
- 【被引频次】8
- 【下载频次】487