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Clustering transactions in sequence databases, temporal databases, and time series databases is achieving an important attention from the database researchers. There is a significant research being carried towards defining and validating the suitability of new similarity measures for sequence databases, temporal databases, time series databases which can accurately and efficiently find the similarity between any two given user transactions in the database of transactions to predict the userdoi:10.1016/j.protcy.2015.02.126 fatcat:r5vzr23fivf55kiv7na3i2kwku