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Interval data is widely encountered in several areas of data mining applications. In the context of discovering interesting temporal patterns in interval data, the notion of closed frequent intervals is proposed in this paper. A pioneering method to determine the set of closed frequent intervals in an interval database is presented. A rigorous mathematical proof has been provided to substantiate the correctness of the proposed method. Temporal data mining discovers underlying patterns in huge data repositories that are overlooked when the temporal component is ignored.
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