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Sampling from large dataset is commonly used in the frequent patterns (FPs) mining. To tightly and theoretically guarantee the quality of the FPs obtained from samples, current methods theoretically stabilize the supports of all the patterns in random samples, despite only FPs do matter, so they always overestimate the sample size. We propose an algorithm called multiple sampling-based FPs mining (MSFP).
View Article and Find Full Text PDFIntroducing AFP's Next Editor-in-Chief.
Am Fam Physician
February 2018
Georgetown University Medical Center, Washington, DC, USA.
In order to help us better understand our patients' experiences, Australian Family Physician is pleased to introduce the first in a series of articles written by people who are willing to share their stories. Ella was requested to write this article by AFP's Editor in Chief. Ella is now a year 11 student at Williamstown High School, Victoria.
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