JURNAL INTERNASIONAL
Journal of theoritical and Apllied Information Technology
The problem of missing values in data tables aries in almost all domains. With the volume of the information growing every day on the communication channels and the necessity of the integration of this data for data analysis and data mining, this reflects even more. In this paper with two step process first we recorver missing values using Least Square method (LS) In this paper our contributions are t5oward three issues: first the effect of data cleaning in the mean of losing data with missing cells in model performance,second the effect of Least Square method in data generation in such highly correlated features datases and third the effect of the combination model in classifier performance.
| JI03220051 | 004.0285 JATIT J JurnalInternasional | Perpus STMIK (Jurnal Internasional) | Tersedia |
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