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Abstract: Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are more accurate, but much slower, because they have to generate an overly specific concept description first. We have experimented with a variety of pruning methods, including two new methods that try to combine and integrate pre- and postpruning in order to achieve both accuracy and efficiency. This is verified with ... (Update)
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BibTeX entry: (Update)
@misc{ rnkranz-comparison,
author = "Johannes Fürnkranz",
title = "A Comparison of Pruning Methods for Relational Concept Learning",
url = "citeseer.ist.psu.edu/225508.html" }
Citations (may not include all citations):1262 Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
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388 Inductive Logic Programming - Muggleton - 1992
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77 Protein secondary structure prediction using logic-based Mac.. (context) - Muggleton, King et al. - 1992
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46 Learning logical definitions from relations (context) - Quinlan - 1990
44 An experimental comparison of human and machine learning for.. - Muggleton, Bain et al. - 1989
33 Incremental Reduced Error Pruning (context) - Furnkranz, Widmer - 1994
33 Inductive Logic Programming: Derivations (context) - Muggleton - 1993
30 An investigation of noise-tolerant relational concept learni.. - Brunk, Pazzani - 1991
28 Efficient pruning methods for separate-and-conquer rule lear.. (context) - Cohen - 1993
22 Decision tree pruning as a search in the state space (context) - Esposito, Malerba et al. - 1993
20 Simplifying decision trees (context) - Quinlan - 1987
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18 Learning efficient classification procedures and their appli.. (context) - Quinlan - 1983
18 IEEE Transactions on Knowledge and Data Engineering (context) - Dzeroski, Lavrac et al. - 1993
13 Modelling the structure and function of enzymes by machine l.. (context) - Sternberg, Lewis et al. - 1992
11 Fossil: A robust relational learner (context) - Furnkranz - 1994
10 Austrian Research Institute for Artificial Intelligence (context) - Furnkranz, relational et al. - 1993
7 FOIL: A midterm report (context) - Quinlan, Cameron-Jones - 1993
6 Top-down pruning in relational learning (context) - Furnkranz - 1994
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