An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generat...
The case for data peering of research data between data commons.
Analytic infrastructure has evolved from clusters to clouds over the past decade. Over the next decade commons will ...
I'm a data scientist who has been working with big data since 1988. This site contains some of my technical articles, talks, and blogs posts. I'm a faculty member and the Director of the Center for Data Intensive Science at at the University of Chicago. I'm also the Chief Data Scientist of Open Data Group, which builds predictive models over big data.