SIAM Data Mining 2012 Conference
Ryan Rosario writes:
From April 26-28 I had the pleasure to attend the SIAM Data Mining conference in Anaheim on the Disneyland Resort grounds. Aside from KDD2011, most of my recent conferences had been more “big data” and “data science” oriented, and I wanted to step away from the hype and just listen to talks that had more substance.
Attending a conference on Disneyland property was quite a bizarre experience. I wanted to get everything I could out of the conference, but the weather was so nice that I also wanted to get everything out of Disneyland as I could. Seeing adults wearing Mickey ears carrying Mickey shaped balloons, and seeing girls dressed up as their favorite Disney princesses screams “fun” rather than “business”, but I managed to make time for both.
The first two days started with a plenary talk from industry or research labs. After a coffee break, there were the usual breakout sessions followed by lunch. During my free 90 minutes, I ran over to Disneyland and California Adventure both days to eat lunch. I managed to run there, wait in line, guide myself through crowds, wait in line, get my food, eat it, and run back to the conference in 90 minutes on a weekend. After lunch on the first two days was another plenary session followed by breakout sessions. The evening of the first two days was reserved for poster sessions. Saturday hosted half-day and full-day workshops.
Below is my summary of the conference. Of course, such a summary is very high level my description may miss things, or may not be entirely correct if I misunderstood the speaker.
I doubt Ryan would claim his summary is “as good as being there” but in the absence of attending, you could do far worse.
Suggestions of papers from the conference that I should read first?