This paper brings up a new classification data mining system algorithm (CARMA) combined attribute reduction and classification mining of association rule.
本文给出了一种将属性约简和分类关联规则挖掘相结合的新型分类挖掘系统的算法(CARMA)。
参考来源 - 基于粗糙集的分类关联规则挖掘算法研究 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
This article discussed two data mining algorithms: the classification tree and clustering.
本文讨论了两种数据挖掘算法：分类树和群集。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
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