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The association rule mining aims at the relationships between the items of the transaction data. Because the transaction data often has characteristics of time stamps, the support value and the confidence value of a certain rule are not quite the same in different periods of time. It is of great help to do further study and make a strategic decision to set up a Meta-association rule for the association...
The mining of association rules mainly aims at the strong association rules, but lacks of efficient methods to mine the rules within the item sets that occur not much frequently. With the separation of the items by their time property, this paper discusses a new method of mining the lightly-supported Boolean association rules.
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