Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science

Tom Fawcett, Apr 05, 2016
Commentary by Stephen Downes

Researchers know how to do analytics on large data sets, but doing useful analytics on individual people still eludes them. "despite small dataset size, the QS domain should be appealing to re- searchers (because it opens up interesting issues) and significant in its impact on the real world (because it can have a direct effect on people’s lives)." But it's not, because it's hard. But people want useful information (and not simply which Netflix-produced video they'd like to watch). "How can I eliminate headaches? How can I make evidence-based decisions to in-crease my energy levels?" And so on. Good article, worth a careful read.

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