The Analytics Conference is coming up soon (October 24-25, Orlando)! To refresh your memory, the Analytics Conference Series is a merger of three annual educational conferences: the data mining conference, the business forecasting conference and the analytics conference held in Europe.
Today I'd like to highlight a popular past and current speaker: Bart Baesens. Professor Bart Baesens is an associate professor at K.U.Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on predictive analytics, data mining, customer relationship management, web analytics, fraud detection, and credit risk management. His findings have been published in well-known international journals (e.g. Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research) and presented at international top conferences. He is also co-author of the book Credit Risk Management: Basic Concepts, published in 2008. He regularly tutors, advises and provides consulting support to international firms with respect to their data mining, predictive analytics, and credit risk management policy. You can learn more about Bart's work on his website, http://www.dataminingapps.com/ and connect with him on Twitter (@DataMiningApps) and on his Facebook group.
We are proud to invite Bart back as a keynote speaker. This year he'll be talking about social networks in data mining. In 2009, Bart was a keynote speaker at our annual Data Mining Conference. Here is his presentation titled Data Mining in the Financial Services Industry: Change we Need!
We hope you get a chance to see Bart and our impressive line-up of speakers at this year's event. You can still save $200 off registration until September 16th!
1 Comment
This is great. I am looking forward for this conference. The line up of speakers a great... I'm really looking forward to learn a lot from this conference.
Data Mining for Intelligence