摘要
关联分类算法是对数据进行分析处理中的一个分支.本文首先介绍了关联分类代表算法。针对数据中的类存在的关联划分问题,提出了一种改进的关联分类算法。随后,结合相关数据,对数据进行有效分类和预测。同时,对改进后的算法和现有算法进行实验与分析。
Associative classification algorithm is a branch of data analysis and processing. The paper firstly introduces therepresentative algorithm in associative classification. An improved associative classification algorithm is proposed, aiming at solvingthe problem in classifying classes in data. Then combined with the relevant data, the data are effectively classified and predicted. Atthe same time, the improved algorithm and the existing algorithm are experimented and analyzed.
出处
《智能计算机与应用》
2018年第1期175-176,180,共3页
Intelligent Computer and Applications
关键词
关联分类
改进
CBA算法
ACW算法
associative classification
improvement
CBA algorithm
ACW algorithm
