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One of the most challenging areas in data mining is Association rule mining. Several algorithms have been developed to solve this problem. These algorithms work efficiently with static datasets. But if new records are added time to time to the datasets means if the datasets are incremental in nature, scenario of association rules may changed. Some of the new item-sets may become frequent, while some previously derived frequent set may become infrequent. Due to updated dataset some rules that are already derived may dropped and some new rules may arrive up.
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