摘要
近年来,数据挖掘引起了信息产业界的极大关注,人们希望通过对数据的深入分析与研究,将数据转换成有用的信息和知识。本文讲解了在KDD过程模型中被采用率较高的CRISP-DM模型,对其生命周期进行分析,并在此基础上介绍了数据挖掘标准中的PMML预言模型标记语言,详细分析了PMML语言中的关联分析模型。
in recent years,data mining caused the information industry attention,people hope that through the data analysis and research,converting the data to useful information and knowledge.This paper explained the KDD model in the process of higher acceptance CRISP-DM model for the life cycle analysis,and based on this,advances the data mining in the standard model PMML predicted markup language,the detailed analysis of the PMML language of correlation analysis model.
出处
《科技通报》
北大核心
2012年第12期110-112,共3页
Bulletin of Science and Technology