In dealing with big data, we often need to look at a small summary to get the big picture. Over recent years, many new techniques have been developed which allow important properties of large distributions to be extracted from compact and easy-to-build summaries. In this talk, I'll highlight some examples of different types of summarization: sampling, sketching, and special-purpose. Then I'll outline the road ahead for further development of such summaries.
[ bib ] Back
This file was generated by bibtex2html 1.92.