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...

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Détails bibliographiques
Auteur principal: Munirah, Yahya
Format: Thèse
Langue:anglais
anglais
Publié: 2011
Sujets:
Accès en ligne: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/
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