My doctoral research focuses on sampling problem inputs to improve performance in various computational tasks including algorithm selection and data mining. Papers include:
- Chris Bennett and Walter D. Potter, "Input Sampling and Sorting Algorithm Selection". To appear in a special issue of the CSDA journal on model selection.
- Chris Bennett, "More Efficient Classification of Web Content Using Graph Sampling". To appear, Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining . 2007.
I am also interested in information systems and computer science education. Papers include:
- Chris Bennett and Richard Watson, "Renewable Projects: A Case Study". Communications of the Association for Information Systems, v. 17, 2006.
- Tarsem S. Purewal Jr. and Chris Bennett, "A Framework for Teaching Polymorphism Using Game Programming". To appear in Proceedings of the 20th Annual Conference for the Consortium of Computing Sciences in College, Southeastern Region.
- Tarsem S. Purewal Jr., Chris Bennett, and Frederick Maier, "Embracing the Social Relevance: Computing, Ethics and the Community". Accepted, SIGCSE 2007.