摘要
数据挖掘就是从大量的数据中挖掘出有用的信息。数据挖掘与传统的数据分析的本质区别是数据挖掘是在没有明确假设的前提下去挖掘信息、发现知识。文章分析了数据挖掘算法的关联规则特性,对其在股票市场中的应用进行了重点,以便更好的应用在更多的领域。
Data mining is to extract useful information from a large number of data.The essential difference between data mining and traditional data analysis is that data mining is to excavate information and discover knowledge without explicit assumptions. This paper analyzes the characteristics of association rules of data mining algorithms, and focuses on the application of the data mining algorithm in the stock market, so that it can be applied in more areas.
出处
《电子测试》
2016年第1期36-38,16,共4页
Electronic Test
关键词
关联规则
数据挖掘算法
股票
association rule
data mining algorithm
stock
