关键词: 数据挖掘, 股票, 关联规则, 交易日期

Abstract: The Apriori arithmetic adopted the changing support and confidence was applied to mine one-dimension and multi-dimension stock information. It was familiar to take the stocks’ codes as the results of data processing, but the stocks’ transaction time was selected as the results of data processing aiming at the convenience and celerity during the concrete mining. It took the tier of transaction time as the direct object of arithmetic of data mining and took the transaction time as the indirect object of arithmetic of data mining. After such data processing, it was effective not only to mine the interesting rules, but also to avoid the trouble that the results of the data processing need to be reprocessed during the mining of multi-dimension information. The mining results have been proved to be right by the validation of the representational rules.

Key words: data mining, stock, association rule, transaction date