1. Provost, F., Aronis, J.: Scaling Up Inductive Learning with Massive Parallelism. Machine Learning, Vol. 23. (1996) 33–46
2. Provost, F., Jensen, D., Oates, T.: Efficient Progressive Sampling. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining. ACM Press, New York (1999) 22–32
3. Shafer, J., Agrawal, R., Mehta, M.: SPRINT: A Scalable Parallel Classifier for Data Mining. Proceedings of the Twenty-Second VLDB Conference. Morgan Kaufmann, San Francisco (1996) 544–555
4. Catlett, J.: Peepholing: Choosing Attributes Efficiently for Megainduction. Proceedings of the Ninth International Conference on Machine Learning. Morgan Kaufmann, San Mateo (1992) 49–54
5. Cohen, W.: Fast Effective Rule Induction. Proceedings of the Twelfth International Conference on Machine Learning. Morgan Kaufmann, San Francisco (1995) 115–123