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Data mining techniques such as machine learning have greatly advanced the chemical and biological sciences. Especially, technological advances in data mining are anticipated for analyzing big data derived from biological and environmental systems. From this perspective, we analyze the complex metabolic and microbial responses of human skin and the relations among these responses using advanced data mining techniques. To this end, metabolic profiles of human sweats were characterized viadoi:10.2751/jcac.18.31 fatcat:biptcb7q4bhgdeiyd4pibdnnru