| C4. 5: Programs for machine learning JR Quinlan Morgan Kaufmann, San Francisco, CA, 1993 | 45394* | 1993 |
| Induction of decision trees JR Quinlan Machine learning 1, 81-106, 1986 | 32513 | 1986 |
| Top 10 algorithms in data mining X Wu, V Kumar, J Ross Quinlan, J Ghosh, Q Yang, H Motoda, ... Knowledge and information systems 14, 1-37, 2008 | 8036 | 2008 |
| Learning with continuous classes JR Quinlan 5th Australian joint conference on artificial intelligence 92, 343-348, 1992 | 4276 | 1992 |
| Simplifying decision trees JR Quinlan International journal of man-machine studies 27 (3), 221-234, 1987 | 4026 | 1987 |
| Learning logical definitions from relations JR Quinlan Machine learning 5, 239-266, 1990 | 2901 | 1990 |
| Improved use of continuous attributes in C4. 5 JR Quinlan Journal of Artificial Intelligence Research 4, 77-90, 1996 | 2746 | 1996 |
| Bagging, boosting, and C4. 5 JR Quinlan AAAI/IAAI, Vol. 1, 725-730, 1996 | 2579 | 1996 |
| Learning efficient classification procedures and their application to chess end games. JR Quinlan Machine learning: An artificial intelligence approach, 463-482, 1983 | 2424 | 1983 |
| Discovering rules by induction from large collections of examples JR Quinlan Expert systems in the micro electronic age. Edinburgh University Press, 1979 | 1660* | 1979 |
| Combining instance-based and model-based learning JR Quinlan Proceedings of the Tenth International Conference on Machine Learning, 236-243, 1993 | 1100 | 1993 |
| Inferring decision trees using the minimum description length principle JR Quinlan, RL Rivest Information and computation 80 (3), 227-248, 1989 | 1091 | 1989 |
| Generating Production Rules from Decision Trees. JR Quinlan IJCAI 87, 304-307, 1987 | 880 | 1987 |
| FOIL: A midterm report JR Quinlan, RM Cameron-Jones Machine Learning: ECML-93, 1-20, 1993 | 870 | 1993 |
| Decision trees and decision-making JR Quinlan IEEE Transactions on Systems, Man, and Cybernetics 20 (2), 339-346, 1990 | 775 | 1990 |
| Learning decision tree classifiers JR Quinlan ACM Computing Surveys (CSUR) 28 (1), 71-72, 1996 | 616 | 1996 |
| Unknown attribute values in induction JR Quinlan Proc. of the Sixth Int. Workshop on Machine Learning, 164-168, 1989 | 525 | 1989 |
| The effect of noise on concept learning JR Quinlan Machine learning: An artificial intelligence approach 2, 149-166, 1986 | 512* | 1986 |
| Data mining tasks and methods: Classification: decision-tree discovery R Kohavi, JR Quinlan Handbook of data mining and knowledge discovery, 267-276, 2002 | 441* | 2002 |
| Inductive knowledge acquisition: a case study JR Quinlan, PJ Compton, KA Horn, L Lazarus Proceedings of the Second Australian Conference on Applications of expert …, 1987 | 357 | 1987 |
