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Consecutive Support: Better Be Close!

Edgar de Graaf·Jeannette de Graaf·Walter A. Kosters
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Abstract

We propose a new measure of support (the number of occur- rences of a pattern), in which instances are more important if they occur with a certain frequency and close after each other in the stream of trans- actions. We will explain this new consecutive support and discuss how patterns can be found faster by pruning the search space, for instance using so-called parent support recalculation. Both consecutiveness and the notion of hypercliques are incorporated into the Eclat algorithm. Synthetic examples show how interesting phenomena can now be discov- ered in the datasets. The new measure can be applied in many areas, ranging from bio-informatics to trade, supermarkets, and even law en- forcement. E.g., in bio-informatics it is important to find patterns con- tained in many individuals, where patterns close together in one chro- mosome are more significant.

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Edgar de Graaf, Jeannette de Graaf, Walter A. Kosters. 2006-06-06. Consecutive Support: Better Be Close!. https://arxiv.org/abs/cs/0606024

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