KLASIFIKASI DAN DETEKSI KEMIRIPAN ARTIKEL BERBAHASA INDONESIA DI JURNAL BERKA…
The classification of articles into several categories has been done using the Naive Bayes method, with an F1-score result of 98% on balanced data based on titles and abstracts. The results show a …
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xi, 135 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1765522025
Search Result
Found 1 from your keywords: Author : Cahyani, Nyimas Sabilina
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Computer Science, Information & General Works 
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