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Working with Dirty Data: To Cleanse or Not to Cleanse... and How to Decide

Nicholas Marko and Oleg Roderick address the issue of using incomplete, damaged, incorrectly interpreted, and otherwise “dirty” data in modern analytics, and use their experiences in healthcare as a baseline from which to discuss this universal challenge in data science.

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Channels: Wolfram Data Summit 2015

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