The Impact of Missing Value Methods and Normalization Techniques on the Performance of Data Mining Models

In practice, the large datasets contain various types of anomalous records that significantly complicate the analysis problem. In particular, the prevalence of outliers, missing or incomplete data can completely invalidate the results obtained with standard analysis procedures, often with no indicat...

書誌詳細
第一著者:	Munirah, Yahya
フォーマット:	Dissertation
言語:	英語英語
出版事項:	2011
主題:	QA76 Computer software
オンライン･アクセス:	https://etd.uum.edu.my/2499/1/Munirah_Yahya.pdf https://etd.uum.edu.my/2499/2/1.Munirah_Yahya.pdf https://etd.uum.edu.my/2499/
Abstract	Abstract here

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