document: MIME : a framework for interactive visual pattern mining We present a framework for interactive visual pattern mining . Our system enables the user to browse through the data and patterns easily and intuitively , using a toolbox consisting of interestingness measures , mining algorithms and post-processing algorithms to assist in identifying interesting patterns . By mining interactively , we enable the user to combine their subjective interestingness measure and background knowledge with a wide variety of objective measures to easily and quickly mine the most important and interesting patterns . Basically , we enable the user to become an essential part of the mining algorithm . Our demo currently applies to mining interesting itemsets and association rules , and its extension to episodes and decision trees is ongoing .
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