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Abstract: This article presents an incremental algorithm for inducing decision trees equivalent to those formed by Quinlan's nonincremental ID3 algorithm, given the same training instances. The new algorithm, named ID5R, lets one apply the ID3 induction process to learning tasks in which training instances are presented serially. (Update)
Context of citations to this paper: More
...where the examples are coming in at a higher rate than they can be repeatedly analyzed. Incremental or online data mining methods [25, 14] are another option for mining data streams. These methods continuously revise and refine a model by incorporating new data as they...
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0.2: An Improved Algorithm for Incremental Induction of Decision Trees - Utgoff (1994) (Correct)
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0.3: Incremental Induction of Decision Trees - Paul Utgoff Utgoff (1989) (Correct)
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37: Induction of Decision Trees (context) - Quinlan - 1986
30: Programs for machine learning (context) - Quinlan - 1993
23: Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
BibTeX entry: (Update)
Utgoff, P. (1989). Incremental induction of decision trees. Machine Learning, 4, 161--186. http://citeseer.ist.psu.edu/utgoff89incremental.html More
@article{ utgoff89incremental,
author = "Paul E. Utgoff",
title = "Incremental Induction of Decision Trees",
journal = "Machine Learning",
volume = "4",
pages = "161-186",
year = "1989",
url = "citeseer.ist.psu.edu/utgoff89incremental.html" }
Citations (may not include all citations):1447 A mathematical theory of communication (context) - Shannon - 1948
1359 Induction of decision trees (context) - Quinlan - 1986
1262 Classification and regression trees (context) - Breiman, Friedman et al. - 1984
392 A theory and methodology of inductive learning (context) - Michalski - 1983
349 Knowledge acquisition via incremental conceptual clustering (context) - Fisher - 1987
163 Learning efficient classification procedures and their appli.. (context) - Quinlan - 1983
79 Connectionist expert systems (context) - Gallant - 1988
68 Version spaces: An approach to concept learning (context) - Mitchell - 1978
58 Learning by being told and learning from examples: An experi.. (context) - Michalski, Chilausky - 1980
51 Decision trees and diagrams (context) - Moret - 1982
50 A case study of incremental concept induction (context) - Schlimmer, Fisher - 1986
48 Classifier systems and the animat problem (context) - Wilson - 1987
47 Incremental learning from noisy data (context) - Schlimmer, Granger - 1986
36 Pattern recognition: Human and mechanical (context) - Watanabe - 1985
28 Learning by statistical cooperation of self-interested neuro.. (context) - Barto - 1985
27 Model-directed learning of production rules (context) - Buchanan, Mitchell - 1978
21 An empirical comparison of genetic and decision-tree classif.. (context) - Quinlan - 1988
19 Multilevel counterfactuals for generalizations of relational.. (context) - Vere - 1980
14 ID5: An incremental ID3 (context) - Utgoff - 1988
9 The characteristic selection problem in recognition systems (context) - Lewis - 1962
6 Improved training via incremental learning (context) - Utgoff - 1989
5 Discrete decision theory: Manipulations (context) - Cockett - 1987
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www-lrn.cs.umass.edu/publications.html): More
Approximation via Value Unification - Utgoff, Sracuzzi (1999) (Correct)
Randomized Variable Elimination - Stracuzzi, Utgoff (2004) (Correct)
Scalable Knowledge Acquisition through Memory Organization - Stracuzzi (2005) (Correct)
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