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Predicting hearing loss symptoms from Audiometry data using FP-Growth Algorithm and Bayesian Classifier

This paper presents the results of applying machine learning algorithms to predict hearing loss symptoms given air and bone conduction audiometry thresholds. FP-Growth (frequent pattern growth) algorithm was employed as a feature extraction technique. The effect of extracting naïve Bayes classifier’...

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書誌詳細
主要な著者:	G. Noma, Nasir, Mohd Khanapi, Abd Ghani, Mohamad Khir , Abdullah, Noorizan , Yahya
フォーマット:	論文
言語:	English
出版事項:	2013
主題:	QA76 Computer software
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/9888/1/NasirNoma-MKAG-AJBAS.pdf http://eprints.utem.edu.my/id/eprint/9888/
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