Data Mining Isan Area of Data Analysis That Has Arisen In Response to New Data Analysischallenges, Such As Those Posed By Massive Data Sets or Non-Traditional Typesof Data. Association Analysis, Which Seeks to Find Patterns That Describe Therelationships of Attributes (Variables) In a Binary Data Set, Is an Area Ofdata Mining That Has Created a Unique Set of Data Analysis Tools and Conceptsthat Have Been Widely Employed In Business and Science. the Objective Measuresused to Evaluate the Interestingness of Association Patterns Are a Key Aspectof Association Analysis. Indeed, Different Objective Measures Define Differentassociation Patterns With Different Properties and Applications. This Paperfirst Provides a General Discussion of Objective Measures For Assessing Theinterestingness of Association Patterns. It Then Focuses on One of Thesemeasures, H-Confidence, Which Is Appropriate For Binary Data Sets With Skeweddistributions. the Usefulness of H-Confidence and the Association Pattern Thatit Defines—A Hyper Clique—Is Illustrated By an Application That Involvesfinding Functional Modules from Protein Complex Data.