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Identifikasi Missing Value dan Outlier pada Proses Cleansing Data dengan Studi Kasus Data Klimatologi Jawa Tengah
| Content Provider | Semantic Scholar |
|---|---|
| Author | Andryanto, Wahyu |
| Copyright Year | 2014 |
| Abstract | Valid data such as completeness, correct data, and data consistency are very important for data processing because it affects the accuracy of data. Therefore, with this research we cleansing missing and outlier from data, to validating data that provide better accuracy to processing data. Missing data of Climate data in Central Java period of 2007 to 2011 is cleaned using median substitution method to fill incomplete data, and outlier identification using Z-Score. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://repository.uksw.edu/bitstream/123456789/5332/1/T1_672005135_Abstract.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |