Papers
Book Chapters and Journals
Lessons and Challenges from Mining Retail E-Commerce Data
Machine Learning, Special Issue on Data Mining Lessons Learned, Volume 57, Issue 1-2, 2004.
Ron Kohavi, Llew Mason, Rajesh Parekh, and Zijian Zheng
Generalization error of combined classifiers
Journal of Computer and System Sciences, Volume 65, Issue 2, p415-438, 2002.
Llew Mason, Peter Bartlett, and Mostefa Golea
KDD-Cup 2000 Organizers' Report: Peeling the Onion (Japanese Translation)
Information Processing Society of Japan, Vol 42 No. 05, 2001.
Ron Kohavi, Carla Brodley, Brian Frasca, Llew Mason, and Zijian Zheng
KDD-Cup 2000 Organizers' Report: Peeling the Onion
SIGKDD Explorations, Volume 2, Issue 2, 2000.
Ron Kohavi, Carla Brodley, Brian Frasca, Llew Mason, and Zijian Zheng
Improved generalization through explicit optimization of margins
Machine Learning 38-3, p243-255, Kluwer Academic Publishers, Boston, 2000.
Llew Mason, Peter Bartlett, and Jonathan Baxter
Functional gradient techniques for combining hypotheses
Advances in Large Margin Classifiers, MIT Press, 1999.
Llew Mason, Jonathan Baxter, Peter Bartlett, and Marcus Frean
Conferences and Workshops
Integrating E-Commerce and Data Mining: Architecture and Challenges
Proceedings of the 2001 IEEE International Conference on Data Mining, p27-34, IEEE, 2001
Suhail Ansari, Ron Kohavi, Llew Mason, and Zijian Zheng
Real World Performance of Association Rule Algorithms (long version available)
Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, p401-406, ACM, 2001.
Zijian Zheng, Ron Kohavi, and Llew Mason
Boosting algorithms as gradient descent
Neural Information Processing Systems 12, p512-518, MIT Press, 2000.
Llew Mason, Jonathan Baxter, Peter Bartlett, and Marcus Frean
Integrating E-Commerce and Data Mining: Architecture and Challenges
WEBKDD'2000 Workshop on Web Mining for E-Commerce - Challenges and Opportunities, Aug 2000.
Suhail Ansari, Ron Kohavi, Llew Mason, and Zijian Zheng
The alternating decision tree learning algorithm
Proceedings of the Sixteenth International Conference on Machine Learning, p124-133, 1999.
Yoav Freund and Llew Mason
Error bounds for voting classifiers using margin cost functions
IEEE Information Theory Workshop on Detection, Estimation, Classification and Imaging, Santa Fe, 1999.
Llew Mason, Peter Bartlett, and Jonathan Baxter
Direct optimization of margins improves generalization in combined classifiers
Advances in Neural Information Processing Systems 11, p288-294, MIT Press, 1999.
Llew Mason, Peter Bartlett, and Jonathan Baxter
Generalization in threshold networks, combined decision trees and combined mask perceptrons
Proceedings of the Ninth Australian Conference on Neural Networks, p84-88, 1998.
Llew Mason, Peter Bartlett, and Mostefa Golea
Generalization in decision trees and DNF : Does size matter?
Advances in Neural Information Processing Systems 10, p259-265, MIT Press, 1998.
Mostefa Golea, Peter Bartlett, Wee Sun Lee, and Llew Mason
Presentations
E-Commerce Data Mining - Lessons Learned and Insights Gained
Invited talk, ASA Chicago Spring Conference, Chicago, May 2002.
Llew Mason
White Papers
Blue Martini eMetrics Study
Blue Martini Software Developer Network (was http://developer.bluemartini.com)
Llew Mason, Zijian Zheng, Ron Kohavi, and Brian Frasca
Thesis and Dissertation
Margins and Combined Classifiers
Ph.D. Thesis, Australian National University, 1999.
Llew Mason
Context modelling of dynamical systems
Honours dissertation, University of Western Australia, 1996.
Llew Mason
