Originally Posted: December 4, 2015
National data mining competition features analytical and problem-solving skills
A team of eight SMU students has been awarded second place and another team of five students received honorable mention in the annual SAS Analytics Shootout competition. The data mining competition winners were announced at the annual SAS Analytics Conference in Las Vegas, Nevada.
For the ninth straight year, SAS and the Institute for Health and Business Insight partnered to provide student and faculty teams with an opportunity to apply analytical skills and solve a real-world problem during the Analytics Shootout. This year’s problem dealt with predicting both electrical energy production from renewable sources and energy consumption of buildings in a city.
The problem statement for the 2015 SAS Data Mining competition was posted online for all competing teams in January and solutions were due by June 3, 2015.
“This is a brutal competition. For SMU to have two teams that finished this high is a very noteworthy accomplishment,” said Thomas Fomby, economics professor and faculty sponsor to one of the competing SMU teams.
The second place SMU team consisted of eight PhD and Master’s level students from the Department of Statistical Science in Dedman College of Humanities and Sciences, including Dateng Li, Ryan McShane, Andrew Mitzel, Qian Wang, Lu Wang, team captain Li Xue (Lily), Rui Yang, and Zhengyang Zhou. Faculty members Tony Ng, Alan Elliott, and Jim Hess coached the team.
The honorable mention team consisted of five students, including Igor Zhadan, Hao Li, Kuangli Xie, Taghreed Alghamdi, and Ali Almadan. Economics professor Thomas Fomby coached the team. READ MORE