浅谈数据挖掘技术及其应用过程

The Introduction and Application Process of Data Mining Technology

数据挖掘技术是将传统的数据分析方法结合处理海量数据算法,从大量数据中探查和发现隐藏的、对问题决策的制定有效可行的关系、趋势和规律,并用这些趋势和规律指导建立有助于决策支持建立的模型,提供决策预测性支持的过程、方法、工具。该文首先介绍数据挖掘的相关知识,进而阐述数据挖掘过程,并详细给出了利用数据挖掘的应用过程。

data mining techniques combined with traditional data analysis method and the mass data processing algorithm,aims to probe from a large amount of data and find hidden,on the relationship between the decision-making useful,patterns and trends,and used the knowledge and rule to establish model for decision support,provide predictive decision support methods,tools and processes.This paper mainly introduces the related knowledge of data mining and data mining process,in detail using the application of data mining.