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An Information Gain based Fuzzy Classifier for Predictive Analysis in Colon Cancer Data

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International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
Authors:
N.S.Nithya
Dr.K.Duraiswamy
10.5120/3833-5329

N.S.Nithya and Dr.K.Duraiswamy. Article:An Information Gain based Fuzzy Classifier for Predictive Analysis in Colon Cancer Data. International Journal of Computer Applications 31(6):45-48, October 2011. Full text available. BibTeX

@article{key:article,
	author = {N.S.Nithya and Dr.K.Duraiswamy},
	title = {Article:An Information Gain based Fuzzy Classifier for Predictive Analysis in Colon Cancer Data},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {31},
	number = {6},
	pages = {45-48},
	month = {October},
	note = {Full text available}
}

Abstract

Modern medicine generates a great deal of information stored in the medical database. Extracting useful knowledge and providing scientific decision making for the diagnosis and treatment of disease from the database increasingly becomes necessary. In India most of the people suffering cancer diseases. Using association rule mining for constructing classification system for diagnosing cancer diseases is a promising approach. A detailed survey shows that a combined approach which integrates the Fuzzy weighted association mining and information gain method may be used to find the associated attribute based on information gain which assigns a weight value to support ,confidence measure and also a fuzzy association mining rule may be used to classify the cancer diseases. This approach would provide a better accuracy compared to other association rule mining technique.

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