A Formal Deductive Problem-Solving System. - J. Ross Quinlan; Earl B. Hunt (J. ACM, 1968)

A Task-Independent Experience-Gathering Scheme for a Problem Solver. - J. Ross Quinlan (IJCAI, 1969)

Predicting The Length Of Solutions To Problems. - J. Ross Quinlan (IJCAI, 1975)

An Introduction to Knowledge-Based Expert Systems. - J. Ross Quinlan (Aust. Comput. J., 1980)

Consistency and Plausible Reasoning. - J. Ross Quinlan (IJCAI, 1983)

Inferno: A Cautious Approach To Uncertain Inference. - J. Ross Quinlan (Comput. J., 1983)

An Expert System for the Interpretation of Thyroid Assays in a Clinical Laboratory. - K. A. Horn; Paul Compton; Leslie Lazarus; J. Ross Quinlan (Aust. Comput. J., 1985)

Internal Consistency in Plausible Reasoning Systems. - J. Ross Quinlan (New Gener. Comput., 1985)

Induction of Decision Trees. - J. Ross Quinlan (Mach. Learn., 1986)

Thyroid Disease. - J. Ross Quinlan (UCI Machine Learning Repository, 1986)

Generating Production Rules from Decision Trees. - J. Ross Quinlan (IJCAI, 1987)

Simplifying Decision Trees. - J. Ross Quinlan (Int. J. Man Mach. Stud., 1987)

An Empirical Comparison of Genetic and Decision-Tree Classifiers. - J. Ross Quinlan (ML, 1988)

Unknown Attribute Values in Induction. - J. Ross Quinlan (ML, 1989)

Inferring Decision Trees Using the Minimum Description Length Principle - J. Ross Quinlan; Ronald L. Rivest (Inf. Comput., 1989)

Learning Logical Definitions from Relations. - J. Ross Quinlan (Mach. Learn., 1990)

Decision trees and decision-making. - J. Ross Quinlan (IEEE Trans. Syst. Man Cybern., 1990)

Determinate Literals in Inductive Logic Programming. - J. Ross Quinlan (ML, 1991)

Knowledge Acquisition from Structured Data: Using Determinate Literals to Assist Search. - J. Ross Quinlan (IEEE Expert, 1991)

Improved Estimates for the Accuracy of Small Disjuncts. - J. Ross Quinlan (Mach. Learn., 1991)

C4.5: Programs for Machine Learning - J. Ross Quinlan (Morgan Kaufmann, 1993)

FOIL: A Midterm Report. - J. Ross Quinlan; R. Mike Cameron-Jones (ECML, 1993)

Combining Instance-Based and Model-Based Learning. - J. Ross Quinlan (ICML, 1993)

Avoiding Pitfalls When Learning Recursive Theories. - R. Mike Cameron-Jones; J. Ross Quinlan (IJCAI, 1993)

The Minimum Description Length Principle and Categorical Theories. - J. Ross Quinlan (ICML, 1994)

Efficient Top-Down Induction of Logic Programs. - R. Mike Cameron-Jones; J. Ross Quinlan (SIGART Bull., 1994)

MDL and Categorical Theories (Continued). - J. Ross Quinlan (ICML, 1995)

Oversearching and Layered Search in Empirical Learning. - J. Ross Quinlan; R. Mike Cameron-Jones (IJCAI, 1995)

Induction of Logic Programs: FOIL and Related Systems. - J. Ross Quinlan; R. Mike Cameron-Jones (New Gener. Comput., 1995)

Bagging, Boosting, and C4.5. - J. Ross Quinlan (AAAI/IAAI, Vol. 1, 1996)

Boosting First-Order Learning. - J. Ross Quinlan (ALT, 1996)

Learning Decision Tree Classifiers. - J. Ross Quinlan (ACM Comput. Surv., 1996)

Improved Use of Continuous Attributes in C4.5. - J. Ross Quinlan (J. Artif. Intell. Res., 1996)

Learning First-Order Definitions of Functions. - J. Ross Quinlan (J. Artif. Intell. Res., 1996)

Decision Trees and Instance-Based Classifiers. - J. Ross Quinlan (The Computer Science and Engineering Handbook, 1997)

Data Mining from an AI Perspective (Abstract). - J. Ross Quinlan (ICDE, 1999)

Some Elements of Machine Learning (Extended Abstract). - J. Ross Quinlan (ILP, 1999)

KDD-99 Panel on Last 10 and Next 10 years. - J. Ross Quinlan (SIGKDD Explor., 2000)

Top 10 algorithms in data mining. - Xindong Wu 001; Vipin Kumar 001; J. Ross Quinlan; Joydeep Ghosh; Qiang Yang 001; Hiroshi Motoda; Geoffrey J. McLachlan; Angus F. M. Ng; Bing Liu 001; Philip S. Yu; Zhi-Hua Zhou; Michael S. Steinbach; et al. (Knowl. Inf. Syst., 2008)