R-MINI: An Iterative Approach for Generating Minimal Rules from Examples.

@article{DBLP:journals/tkde/Hong97,
  author    = {Se June Hong},
  title     = {R-MINI: An Iterative Approach for Generating Minimal Rules from
               Examples},
  journal   = {IEEE Trans. Knowl. Data Eng.},
  volume    = {9},
  number    = {5},
  year      = {1997},
  pages     = {709-717},
  ee        = {db/journals/tkde/Hong97.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1997 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

References

[1]

Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac: The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. AAAI 1986: 1041-1047 BibTeX

[2]

Peter Clark, Tim Niblett: The CN2 Induction Algorithm. Machine Learning 3: 261-283(1989) BibTeX

[3]

...

[4]

Sholom M. Weiss, Nitin Indurkhya: Reduced Complexity Rule Induction. IJCAI 1991: 678-684 BibTeX

[5]

J. Ross Quinlan: Generating Production Rules from Decision Trees. IJCAI 1987: 304-307 BibTeX

[6]

Giulia Pagallo: Learning DNF by Decision Trees. IJCAI 1989: 639-644 BibTeX

[7]

Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Occam's Razor. Inf. Process. Lett. 24(6): 377-380(1987) BibTeX

[8]

Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Manfred K. Warmuth: Learnability and the Vapnik-Chervonenkis dimension. J. ACM 36(4): 929-965(1989) BibTeX

[9]

...

[10]

Usama M. Fayyad, Keki B. Irani: What Should Be Minimized in a Decision Tree? AAAI 1990: 749-754 BibTeX

[11]

J. Ross Quinlan, Ronald L. Rivest: Inferring Decision Trees Using the Minimum Description Length Principle. Inf. Comput. 80(3): 227-248(1989) BibTeX

[12]

Leo Breiman, J. H. Friedman, R. A. Olshen, C. J. Stone: Classification and Regression Trees. Wadsworth 1984, ISBN 0-534-98053-8
BibTeX

[13]

Sholom M. Weiss, Casimir A. Kulikowski: Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems. Morgan Kaufmann 1990, ISBN 1-55860-065-5
BibTeX

[14]

James Dougherty, Ron Kohavi, Mehran Sahami: Supervised and Unsupervised Discretization of Continuous Features. ICML 1995: 194-202 BibTeX

[15]

Se June Hong: Use of Contextaul Information for Feature Ranking and Discretization. IEEE Trans. Knowl. Data Eng. 9(5): 718-730(1997) BibTeX

[16]

...

[17]

...

[18]

...

[19]

Padhraic Smyth, Rodney M. Goodman: An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowl. Data Eng. 4(4): 301-316(1992) BibTeX

[20]

...

[21]

...

[22]

Chidanand Apté, Se June Hong: Predicting Equity Returns from Securities Data. Advances in Knowledge Discovery and Data Mining 1996: 541-560 BibTeX

[23]

...

[24]

Donald Michie, David J. Spiegelhalter, C. C. Taylor: Machine Learning, Neural and Statistical Classification. Ellis Horwood 1994, ISBN 0-13-106360-X
BibTeX

[25]

Manish Mehta, Jorma Rissanen, Rakesh Agrawal: MDL-Based Decision Tree Pruning. KDD 1995: 216-221 BibTeX

Referenced by

1. Se June Hong: Use of Contextaul Information for Feature Ranking and Discretization. IEEE Trans. Knowl. Data Eng. 9(5): 718-730(1997)