Abstract

This research paper is a new approach to Closed SPAM by Using Binary DBP Closed SPAM. The idea behind this algorithm is extending the previous DBP using SPAM. The feature DBP Closed SPAM is to retrieve large sequence database from closed Sequential Patterns The test evaluation is done on Real Datasets, experimented results shows that the algorithm DBP Closed SPAM is more efficient than the previous Closed SPAM algorithms. This is also a way to retrieve the closed frequent patterns in a sequence database by giving minimum support value.

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