Sports Data Mining book Repeat!

Springer announced that my Sports Data Mining book of 2010 is still in the Top 25% of eBook sales and chapter downloads have increased nearly 350% from last year.

Keynote Speaker at “ACM Compute 2014” Conference

Dr. Schumaker has been invited as keynote speaker to the “7th Annual ACM India Compute Conference” in Nagpur India Oct 7-9, 2014. The theme is Advances in Information Management and High Performance Computing.

Nominated for Hall of Honor Award

Dr. Schumaker was recently nominated for the CCSU School of Business Hall of Honor research Award for 2013-2014.

Sports Data Mining book in the Top 25% of eBook Sales

I just received an email from Springer Publishing this morning saying that my 2010 Sports Data Mining book is in the Top 25% of their eBook sales. It is good to see such a strong following.

Keynote Speaker to “Discourse Approaches to Financial Communication” Conference

Dr. Schumaker has been invited as keynote speaker to the international conference “Discourse Approaches to Financial Communication” in Ascona Switzerland Feb 3-6, 2014. This conference blends together finance and linguistics to improve investment decision-making.

ACM Distinguished Speakers Program

Dr. Schumaker was recently accepted into the ACM’s Distinguished Speakers Program (DSP). This program gives businesses, universities, student groups and government agencies access to leading technology experts for programs or speaking engagements.

ACM Senior Grade

Dr. Schumaker was recently elevated to ACM Senior Grade which recognizes ACM members with 10 years professional experience who have demonstrated performance that sets them apart from their peers.

Radio Interview on RTV Slovenia

In June 2012 Dr. Schumaker was interviewed regarding his expertise with Sports Data Mining. A link to the interview can be found here: Jeric, S., (June 14, 2012). Podatkovno Rudarjenje v Sportu (Data Mining in Sport). RTV Slovenia Radio Broadcast. Audio in Solvene.

Predicting Price Movement from Financial News Book Chapter

In December 2011, Dr. Schumaker’s chapter “Predicting Price Movement from Financial News Articles” was published in Information Systems for Global Financial Markets by IGI Global. This chapter is the culmination of AZFinText research and explores areas of what article terms are most effective, which industry sectors are easiest to predict and how to couple a textual financial news system with existing quantitative stock selection strategies.

Make Magazine – Roomba Reconnaissance

In Summer 2011, Make Magazine featured “Roomba Reconnaissance” which was a student project in Dr. Schumaker’s Internet Applications class in 2009. Students were given an iRobot Roomba Discovery and a budget of $200. Their goal was simple, modify the Roomba so that users can connect to it through the Internet and use it as a remote surveillance instrument where Internet users could drive the unit around a remote premises and see what is happening. This project required students to think about ways to set up miniature webservers on non-typical devices and integrate them them with webcams, wireless access points and the Roomba itself. Students learned hands-on programming and troubleshooting skills as well as creative problem-solving skills. Two students, Ray Caruso and Evin Papowitz, submitted their project report to Make Magazine and had their solution published on the front cover and was a feature article.