Janet C. Meininger

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When applying association mining to real datasets, a major obstacle is that often a huge number of rules are generated even with very reasonable support and confidence. Among these rules, many are trivial, redundant, semantically wrong, or already known by end-users. Association rule post-processing aims to remove these undesired rules. Existing work mainly(More)
BACKGROUND Suboptimal lifestyle factors in combination with genetic susceptibility contribute to cardiovascular disease and type 2 diabetes risk among Latinos. We describe a community-academic collaboration that developed and explored the feasibility of implementing a socioculturally tailored, healthy lifestyle intervention integrating genomics and family(More)
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