A brief introduction to data mining in e - commerce 浅说电子商务中的数据挖掘技术
Based on the introduction to data mining , text mining andknowledge management , we divide the knowledge management into three phases , knowledge repository , knowledge sharing and knowledge discovery respectively , from the view - point of technical development . we analyse the key component of text mining , and point out that it is the main trend of intelligent information processing in the coming new century 本文首先介绍了数据挖掘、文本挖掘和知识管理等概念,然后从技术角度出发,将知识管理划分为知识库、知识共享和知识发现三个阶段,分析了作为最高阶段的知识发现的关键技术和意义,最后指出在文本中进行知识发现是新世纪智能信息处理的重要方向。
Data mining always faces complicated tasks that including classification , prediction , association rule discovering and clustering , etc . in the first part of this paper , we give brief introduction to data mining and its relation with data warehouse and olap ( online analytical processing ) technology 数据挖掘面对的任务是复杂的,通常包括分类、预测、关联规则发现和聚类分析等。在本文中,我们先介绍了数据挖掘的基本概念及其和数据仓库、 olap (联机分析处理)的关系。