关联规则在艺术品股票预测方面的应用  

The application of association rules in the prediction of art stocks

作　　者：赵艳琪 苟刚[1] 

机构地区：[1]贵州大学计算机科学与技术学院,贵州贵阳550025

出　　处：《微型机与应用》2016年第23期90-92,共3页Microcomputer & Its Applications

摘　　要：股票市场瞬息万变,每天产生大量的交易数据。随着艺术品股票市场的兴起,越来越多的人投资于艺术品股票。由于艺术品股票价格受多方面的影响,需要寻求更为有效的方法来对艺术品交易市场进行预测。利用Apriori算法的改进算法对艺术品股票进行关联规则挖掘,得到艺术品股票之间的关联关系,进而对投资者做出正确决策有一定的辅助作用,防止投资者盲目投资,降低艺术品股票市场交易风险。The stock market is constantly changing , resulting in a lot of transaction data every day. With the rise of the art stock market, more and more people invest in the art stock. Because of the influence of many aspects of the art stock price, it need to seek a more effective method to forecast the art market. Using the improved algorithm of Apriori algorithm to proceed association rules mining to get the relationship between the artstocs. It can help to make the right decision for investors , to prevent investors blind investment, reduce the risk of stock market transactions.

关 键 词：数据挖掘 关联规则 艺术品股票 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]