Granular Computing models in Machine Learning Abstract Traditional Machine Learning (ML) models are unable to effectively cope with the challenges posed by the many V’s (volume, velocity, variety, etc.) characterizing

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Date: 2017-10-09 20:55:26		Granular Computing models in Machine Learning Abstract Traditional Machine Learning (ML) models are unable to effectively cope with the challenges posed by the many V’s (volume, velocity, variety, etc.) characterizing Add to Reading List Source URL: www.site.uottawa.ca Download Document from Source Website File Size: 533,53 KB Share Document on Facebook