NDLI: Greedy rule generation from discrete data and its use in neural network rule extraction

Content Provider	IEEE Xplore Digital Library
Author	Odajima, K. Hayashi, Y. Setiono, R.
Copyright Year	2006
Description	Author affiliation: Meiji Univ., Kawasaki (Odajima, K.; Hayashi, Y.)
Abstract	This paper proposes GRG (greedy rule generation) algorithm for generating classification rules from a data set with discrete attributes. The algorithm is "greedy" in the sense that at every iteration, it searches for the best rule to generate. The criteria for the best rule include the number of samples that it covers, the number of attributes involved in the rule, and the size of the input subspace it covers. This method is applied for extracting rules from neural networks that have been trained and pruned for solving classification problems. Neural networks with one hidden layer are trained and the proposed GRG algorithm is applied to their discretized hidden unit activation values. Our results show that rule extraction with the GRG method produces rule sets that are more accurate and concise compared to those obtained by a decision tree method and an existing neural network rule extraction method.
Starting Page	1833
Ending Page	1839
File Size	222347
Page Count	7
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.246902
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Neural networks Data mining Artificial neural networks Electronic mail Classification algorithms Machine learning algorithms Cancer Computer science Computer networks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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