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In data mining, rare item problem refers to the dilemma that a single minimum support either misses rules involving rare items or produces a flood of rules when set low. This meaning comes from Liu (1999) in Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining.[1]
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