document: Generalizing the notion of support The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data . To that end , we describe a framework for generalizing support that is based on the simple , but useful observation that support can be viewed as the composition of two functions : a function that evaluates the strength or presence of a pattern in each object ( transaction ) and a function that summarizes these evaluations with a single number . A key goal of any framework is to allow people to more easily express , explore , and communicate ideas , and hence , we illustrate how our support framework can be used to describe support for a variety of commonly used association patterns , such as frequent itemsets , general Boolean patterns , and error-tolerant itemsets . We also present two examples of the practical usefulness of generalized support . One example shows the usefulness of support functions for continuous data . Another example shows how the hyperclique pattern -- an association pattern originally defined for binary data -- can be extended to continuous data by generalizing a support function .
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