Recent studies emerged the need for representations of frequent itemsets that allow to estimate supports. Several methods have been proposed that achieve this goal by generating only a subset of all frequent itemsets. In this paper, we propose another approach, that given a minimum support threshold, stores only a small portion of the original database from which the supports of frequent itemse...

ACKNOWLEDGEMENTS The International Emissions Trading Association gratefully acknowledges the support)and participation of the Electric Power Research Institute (EPRI) in the preparation of the IETA Linking Report. comments on earlier drafts of this report. We also benefited from comments and discussions at the IETA/EPRI/IEA Seventh Annual Workshop on Greenhouse Gas Emission Trading. While those...

The aim of this paper is to provide a crystal clear insight into the true semantics of the measures of support and confidence that are used to assess rule quality in fuzzy association rule mining. To achieve this, we rely on two important pillars: the identification of transactions in a database as positive or negative examples of a given association between attributes, and the correspondence b...

This Article addresses the need to reform the ADA to prevent vexatious litigation and to promote the underlying goals of the Act. Part I of this Article introduces the topic of vexatious litigation and the importance of remedying the effects of exploitation of the ADA. Part II provides an overview of the ADA and its efforts to increase accessibility to individuals with disabilities, emphasizing...

We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to be generated. Our approach is a combination of the integration of querying conditions inside the mining phase, and the incremental querying of already generated associations. We present several concrete algorithms and ...

We analyze algorithms that, under the right circumstances, permit efficient mining for frequent itemsets in data with tall peaks (large frequent itemsets). We develop a family of level-by-level peak-jumping algorithms, and study them using a simple probability model. The analysis clarifies why the jumping idea sometimes works well, and which properties the data needs to have for this to be the ...

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Currently, the genetic variants identified by genome wide association study (GWAS) generally only account for a small proportion of the total heritability for complex disease. One crucial reason is the underutilization of gene-gene joint effects commonly encountered in GWAS, which includes their main effects and co-association. However, gene-gene co-association is often customarily put into the...

This work extends fuzzy inference-grams (fingrams) to fuzzy association rules (FAR), yielding FARFingrams. Their analysis pays attention to interpretability issues. An important open problem in association rule mining is the huge number of frequent itemsets and interesting rules to uncover and communicate to the user. FAR-Fingrams address such problem through visual analysis. They ease the sele...