Improving accuracy of missing data imputation in data mining
In fact, raw data in the real world is dirty. Each large data repository contains various types of anomalous values that influence the result of the analysis, since in data mining, good models usually need good data, databases in the world are not always clean and includes noise, incomplete data, du...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sulaimani Polytechnic University
2017-08-01
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| Series: | Kurdistan Journal of Applied Research |
| Subjects: | |
| Online Access: | http://kjar.spu.edu.iq/index.php/kjar/article/view/99 |