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BACKGROUND Collecting data can be cumbersome and expensive. Lack of relevant, accurate and timely data for research to inform policy may negatively impact public health. The aim of this study was to test if the careful removal of items from two community nutrition surveys guided by a data mining technique called feature selection, can (a) identify a reduced(More)
Contemporary hardware and software breakthroughs have enabled vast collections of data sets in numerous scientific fields such as genetics, astronomy, weather, web traffic etc. Most often these data sets contain repeating sequences that we can use to build a statistical model and extract previously unknown patterns such as groups, dependencies and(More)
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