Sunday, May 21, 2006
1. Bring together researchers (from both academia and industry) as well as practitioners from different fields to talk about their different perspectives and to share their latest problems and ideas.
2. Attract business professionals who have access to interesting sources of data and business problems but not the expertise in data mining to solve them effectively.
I love attending KDD - it is a fun conference with lots of interesting talks and posters, which attracts both industry people as well as academics from artificial intelligence/maching-learning and a few statisticians (the cool ones, of course). Aside from the main conference there is a variety of workshops and tutorials. This conference has a competitive acceptance rate for papers, which guarantees high quality.
See you in Philly!
I believe that one GREAT resource is the MBA program. Some of the students who take (in addition to a core statistics course) a hands-on, business-oriented data mining/analysis course have a big advantage: they not only understand and tried out some analysis, but they are well versed in the business world, in their field of concentration (marketing, finance, etc.) Some of my top students would be an incredible asset to any company.
It is prime time for the statistics community to embrace MBA programs and not only teach statistics, but also learn more about its use, challenges, and real applications in the business context.
Thursday, May 04, 2006
For those not familiar with the journal Statistical Science, this is a really neat and readable statistical journal that features special issues on interdisciplinary areas, interviews with famous statisticians, and more. My colleague Anindya Ghose from the Stern School of Business just sent me a few websites showing the HUGE impact factor of this journal (this is the ratio of the number of citations to the number of published articles) :
- According to Thomson's Sci-Bytes, in 2000-2004 it had an impact factor of 4.9, and was in the 4th place, after Bioinformatics, J. Computational Biology and Econometrica.
- Ranked 6th on the list of Top Journal in Statistics (among 72 journals) in an analysis by Professor Wayne Oldford from the University of Waterloo (and director of the center for computational mathi in industry and commerce) .
- Ranked as one of the two "Top Tier Review Journals" by Dept of Statistics at Florida State U (in a document that ranks journals for purpses of tenure and promotion...)
So hold your breath for the May issue. A preview of the cover and Table of Contents will be available at the 2nd Symposium on "Statistical Challenges in eCommerce" at Minneapolis (May 22-23). A leak from the editor says that the issue will also include an interview with a famous statistician...