Ross Quinlan

Q: What Schools Are Affiliated With Ross Quinlan

Ross Quinlan is affiliated with the following schools: University of Sydney, University of Washington

Ross Quinlan's AcademicInfluence.com Rankings

Ross Quinlan

Computer Science

#106

World Rank

#112

Historical Rank

Database

#345

World Rank

#360

Historical Rank

computer-science Degrees

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Computer Science

Why Is Ross Quinlan Influential?

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According to Wikipedia, John Ross Quinlan is a computer science researcher in data mining and decision theory. He has contributed extensively to the development of decision tree algorithms, including inventing the canonical C4.5 and ID3 algorithms. He also contributed to early ILP literature with First Order Inductive Learner . He is currently running the company RuleQuest Research which he founded in 1997.

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Ross Quinlan's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

C4.5: Programs for Machine Learning (1992) (22386)
Induction of Decision Trees (1986) (14626)
Top 10 algorithms in data mining (2007) (5183)
Simplifying decision trees (1987) (2503)
Learning With Continuous Classes (1992) (2204)
Improved Use of Continuous Attributes in C4.5 (1996) (1955)
Bagging, Boosting, and C4.5 (1996) (1719)
Learning Efficient Classification Procedures and Their Application to Chess End Games (1983) (1414)
Learning logical definitions from relations (1990) (968)
Induction of decision trees (2004) (947)
Inferring Decision Trees Using the Minimum Description Length Principle (1989) (814)
Combining Instance-Based and Model-Based Learning (1993) (715)
FOIL: A Midterm Report (1993) (682)
Generating Production Rules from Decision Trees (1987) (598)
Decision trees and decision-making (1990) (524)
Unknown Attribute Values in Induction (1989) (388)
Learning Logical Definitions from Relations (2005) (313)
Data Mining Tools See5 and C5.0 (2004) (304)
Learning decision tree classifiers (1996) (274)
Inductive knowledge acquisition: a case study (1987) (254)
DECISION TREES AS PROBABILISTIC CLASSIFIERS (1987) (219)
Inferno: A Cautious Approach To Uncertain Inference (1986) (189)
Probabilistic decision trees (1990) (176)
Oversearching and Layered Search in Empirical Learning (1995) (172)
Data mining tasks and methods: Classification: decision-tree discovery (2002) (153)
Constructing Decision Trees (1993) (148)
Comparing connectionist and symbolic learning methods (1994) (143)
An Empirical Comparison of Genetic and Decision-Tree Classifiers (1988) (118)
Learning First-Order Definitions of Functions (1996) (115)
Boosting First-Order Learning (1996) (114)
Determinate Literals in Inductive Logic Programming (1991) (109)
Induction of logic programs: FOIL and related systems (1995) (104)
MDL and Categorical Theories (Continued) (1995) (89)
An Expert System for the Interpretation of Thyroid Assays in a Clinical Laboratory (1985) (69)
Efficient top-down induction of logic programs (1994) (68)
Induction over large data bases (1979) (61)
Improved Estimates for the Accuracy of Small Disjuncts (1991) (59)
The Minimum Description Length Principle and Categorical Theories (1994) (54)
Avoiding Pitfalls When Learning Recursive Theories (1993) (46)
A Formal Deductive Problem-Solving System (1968) (41)
Decision Trees and Instance-Based Classifiers (1997) (31)
Consistency and Plausible Reasoning (1983) (29)
Knowledge acquisition from structured data: using determinate literals to assist search (1991) (23)
Miniboosting Decision Trees (1999) (21)
A Case Study in Machine Learning (1993) (18)
Improved estimates for the accuracy of small disjuncts (2005) (16)
A Task-Independent Experience-Gathering Scheme for a Problem Solver (1969) (13)
A Knowledge-Based System for Locating Missing High Cards in Bridge (1979) (12)
Introduction to Decision Trees (1986) (11)
Past Tenses of Verbs and First-order Learning (1994) (9)
Some Elements of Machine Learning (Extended Abstract) (1999) (9)
An Introduction to Knowledge-Based Expert Systems (1980) (7)
Applications of expert systems: based on the proceedings of the second Australian conference (1987) (6)
Pruning Decision Trees (1993) (6)
Data Mining from an AI Perspective (Abstract) (1999) (4)
THE FORTRAN DEDUCTIVE SYSTEM (1969) (4)
15 – LEARNING EFFICIENT CLASSIFICATION PROCEDURES AND THEIR APPLICATION TO CHESS END GAMES (1983) (3)
Proceedings of the Second Australian Conference on Applications of expert systems (1987) (3)
KDD-99 panel on last 10 and next 10 years (2000) (3)
Guide to Using the System (1993) (2)
From Trees to Rules (1993) (1)
Predicting The Length Of Solutions To Problems (1975) (1)
Internal consistency in plausible reasoning systems (1985) (1)
Interpretative diagnostic assay reports using an “xpert System” (1985) (0)
Consistency and Plausible Inference (1982) (0)
Unknown Attribute Values (2017) (0)
oosting, a C4.5 (1999) (0)
Stanford Heuristic Programming Project Induction over Large Data Bases by T Induction over Large Data Bases (0)
Grouping Attribute Values (1993) (0)
DECISION TREES AND MULTI-VALUED ATTRIBUTES In the course of their work (2013) (0)
Appears in New Generation Computing Induction of Logic Programs FOIL and Related Systems (2007) (0)
THE REACTIVE LIBRARY (1967) (0)
CHAPTER 10 – Limitations (1993) (0)
CHAPTER 11 – Desirable Additions (1993) (0)
Interacting with Classification Models (1993) (0)

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Other Resources About Ross Quinlan

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What Schools Are Affiliated With Ross Quinlan?

Ross Quinlan is affiliated with the following schools: