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Data Science for Data-Driven Application Systems in the Internet of Things

Kirk Borne discusses the identification and classification of behaviors and actionable events in real-time streaming data. He cites examples from retail, marketing, finance, big science, and government, and presents an analytics framework that has proven beneficial in those settings.

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Channels: Wolfram Data Summit 2015

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