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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://etd.uum.edu.my/2499/1/Munirah_Yahya.pdf http://etd.uum.edu.my/2499/2/1.Munirah_Yahya.pdf http://etd.uum.edu.my/2499/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|