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John Ross Quinlan,
an Australian computer scientist and researcher in machine learning, data mining, and decision theory. He currently runs his company RuleQuest Research [1], and was affiliated with the University of Sydney, the University of Technology Sydney, the University Of New South Wales and the RAND Corporation.

Based on the concept learning [2] by Earl B. Hunt [3] as used in decision tree learning, Ross Quinlan invented the tree induction algorithms Iterative Dichotomiser 3 (ID3) [4] [5] and their successors C4.5, and C5.0 [6] [7]. One application of these algorithms is to discover classifications rules for chess endgames, as shown with KRKN and ID3 in Learning efficient classification procedures and their application to chess end games [8] .
Ross Quinlan [9]

Selected Publications

[10] [11]
  • Ross Quinlan (1979). Discovering Rules by Induction from Large Collections of Examples. Expert Systems in the Micro-electronic Age, pp. 168-201. Edinburgh University Press (Introducing ID3)
  • Ross Quinlan (1982). Semi-Autonomous Acquisition of Pattern-Based Knowledge. Introductory Readings in Expert Systems, pp. 192-207. Gordon & Breach, New York. ISBN 0677163509.
  • Ross Quinlan (1983, 1985). Learning efficient classification procedures and their application to chess end games. Machine Learning: An Artificial Intelligence Approach [12] [13] [14]
  • Ross Quinlan (1986). Induction of Decision Trees. Machine Learning 1, 1, 81-106
  • Ross Quinlan (1986). The Effect of Noise on Concept Learning. Machine Learning: An Artificial Intelligence Approach, Vol. 2 [15]
  • Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann, google books
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  • Ross Quinlan (1993). Improved use of continuous attributes in c4.5. Journal of Artificial Intelligence Research, 4:77-90
  • Ron Kohavi, Ross Quinlan (1999). Decision Tree Discovery. pdf

External Links


References

  1. ^ RuleQuest Research Data Mining Tools
  2. ^ The Machine Learning Dictionary - CLS
  3. ^ Earl B. Hunt (1962). Concept Learning: An Information Processing Problem. Wiley. google books
  4. ^ The ID3 Algorithm
  5. ^ Andrew Colin (1996). Building Decision Trees with the ID3 Algorithm. Dr. Dobbs Journal, June 1996, pdf
  6. ^ Information on See5/C5.0
  7. ^ Is C5.0 Better Than C4.5?
  8. ^ Ross Quinlan (1983). Learning efficient classification procedures and their application to chess end games. In Machine Learning: An Artificial Intelligence Approach, pages 463–482. Tioga, Palo Alto
  9. ^ Ross Quinlan's personal homepage
  10. ^ DBLP: J. Ross Quinlan
  11. ^ ICGA Reference Database (pdf)
  12. ^ Ryszard Michalski, Jaime Carbonell, Tom Mitchell (1983). Machine Learning: An Artificial Intelligence Approach. Tioga Publishing Company, ISBN 0-935382-05-4. google books
  13. ^ Ryszard Michalski, Jaime Carbonell, Tom Mitchell (1985). Machine Learning: An Artificial Intelligence Approach. Morgan Kaufmann, ISBN 0-934613-09-5. google books
  14. ^ Denis Verhoef, Jacco H. Wesselius (1987). Two-ply KRKN: Safely overtaking Quinlan. ICCA Journal, Vol. 10, No. 4
  15. ^ Ryszard Michalski, Jaime Carbonell, Tom Mitchell (1986). Machine Learning: An Artificial Intelligence Approach, Volume II. Morgan Kaufmann, ISBN 0-934613-00-1. google books

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