Hall of Fame

The final project provides an opportunity to organize and analyze a collection of data using the techniques covered in class. One component of the project involves using the Weka data-mining software to discover interesting patterns in the data. Below is a Hall of Fame that highlights some of the best projects from prior offerings of the course. Enjoy!
Spring 2009: Classifying automobiles by country of origin; Kevin Allgaier; Predicting flight delays through data mining; Tim Stefanski
Fall 2008: Quantifying storylines of the 2008 US presidential election; Christopher Choate; Data mining for indicators of type II diabetes; Anna Ma
Spring 2008: Using data mining to predict marital status; Alexis Pire; Predicting attendance at Major League Baseball games; Tim Gaugler
Fall 2007: Data mining to predict patient outcome in a clinical trial of a lung cancer treatment; Ashley Cook; Exploring factors that influence male and female literacy rates; Erin Roussel
Spring 2007: Data mining NASCAR race data; Danny Shapiro; Naughts and crosses: a data-mining approach to winning tic-tac-toe; Bob Solorio