Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0950-7051(99)00009-X
Title: On mapping decision trees and neural networks
Authors: Setiono, R. 
Leow, W.K. 
Issue Date: 1999
Source: Setiono, R., Leow, W.K. (1999). On mapping decision trees and neural networks. Knowledge-Based Systems 12 (3) : 95-99. ScholarBank@NUS Repository. https://doi.org/10.1016/S0950-7051(99)00009-X
Abstract: There exist several methods for transforming decision trees to neural networks. These methods typically construct the networks by directly mapping decision nodes or rules to the neural units. As a result, the networks constructed are often larger than necessary. This article describes a pruning-based method for mapping decision trees to neural networks, which can compress the network by removing unimportant and redundant units and connections. In addition, equivalent decision trees extracted from the pruned networks are simpler than those induced by well-known algorithms such as ID3 and C4.5.
Source Title: Knowledge-Based Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/42909
ISSN: 09507051
DOI: 10.1016/S0950-7051(99)00009-X
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

23
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

16
checked on Nov 18, 2017

Page view(s)

66
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.