%0 Conference Paper %1 Webb98 %A Webb, G. I. %B Lecture Notes in Computer Science Vol. 1502: Advanced Topics in Artificial Intelligence, Selected Papers from the Eleventh Australian Joint Conference on Artificial Intelligence (AI '98) %C Berlin %D 1998 %E Antoniou, G. %E Slaney, J.K. %I Springer-Verlag %K Decision Grafting, Learning, Occams Razor Tree %P 273-283 %T The Problem of Missing Values in Decision Tree Grafting %X Decision tree grafting adds nodes to inferred decision trees. Previous research has demonstrated that appropriate grafting techniques can improve predictive accuracy across a wide cross�selection of domains. However, previous decision tree grafting systems are demonstrated to have a serious deficiency for some data sets containing missing values. This problem arises due to the method for handling missing values employed by C4.5, in which the grafting systems have been embedded. This paper provides an explanation of and solution to the problem. Experimental evidence is presented of the efficacy of this solution.

@inproceedings{Webb98, abstract = {Decision tree grafting adds nodes to inferred decision trees. Previous research has demonstrated that appropriate grafting techniques can improve predictive accuracy across a wide cross�selection of domains. However, previous decision tree grafting systems are demonstrated to have a serious deficiency for some data sets containing missing values. This problem arises due to the method for handling missing values employed by C4.5, in which the grafting systems have been embedded. This paper provides an explanation of and solution to the problem. Experimental evidence is presented of the efficacy of this solution.}, added-at = {2016-03-20T05:42:04.000+0100}, address = {Berlin}, audit-trail = {*}, author = {Webb, G. I.}, biburl = {https://www.bibsonomy.org/bibtex/2f6ecf47ceeb865b8398460592bd173ed/giwebb}, booktitle = {Lecture Notes in Computer Science Vol. 1502: Advanced Topics in Artificial Intelligence, Selected Papers from the Eleventh Australian Joint Conference on Artificial Intelligence (AI '98)}, editor = {Antoniou, G. and Slaney, J.K.}, interhash = {632cbb0b5b7ff39c6e2e5290f986dcd4}, intrahash = {f6ecf47ceeb865b8398460592bd173ed}, keywords = {Decision Grafting, Learning, Occams Razor Tree}, location = {Brisbane, Australia}, pages = {273-283}, publisher = {Springer-Verlag}, timestamp = {2016-03-20T05:42:04.000+0100}, title = {The Problem of Missing Values in Decision Tree Grafting}, year = 1998 }