Date:
Tunedit Blog, July 20, 2010 by magdalena pancewicz
During the 7th International Conference on
Rough Sets and Current Trends in Computing (RSCTC 2010),
we had a pleasure to talk with Vladimir Nikulin from University of Queensland, Australia, the 1st winner of the Basic Track in
RSCTC'2010 Discovery Challenge: Mining DNA microarray data for medical diagnosis and treatment.
Below you may read the transcript of our chat and learn what tips and tricks can be used to hack the data and achieve victory in a data mining competition. Obligatory reading for all practitioners and contestants.
Winners of RSCTC 2010 discovery challenge
Magdalena Pancewicz, TunedIT: How did it happen that data mining became your field of interest?
Vladimir Nikulin: I've got a PhD in Mathematical Statistics from the Moscow State University. I worked in Russia as a scientific programmer and then as an Associate Professor in Mathematics & Statistics. When I came to Australia in 1993, I had a very solid academic background, and it wasn't difficult for me to study the most advanced methods of computational statistics and data mining (DM). The major progress in this area I made after joining the Australian National University in Canberra, where I worked for over 2 years, publishing papers and attending several international conferences. Also, I participated in data mining competitions, and won my first challenge in 2007: Agnostic Learning vs. Prior Knowledge Challenge.
Read more.