Layanan journal yang disediakan oleh Perpustakaan Universitas Gunadarma
| Judul Artikel | : | Enhancing Decision Tree Performance in Credit Risk Classification and Prediction |
|---|---|---|
| Judul Terbitan | : | ULTIMATICS JURNAL TEKNIK INFORMATIKA |
| ISSN | : | 2085-4552 |
| Bahasa | : | IND |
| Tempat Terbit | : | TANGERANG |
| Tahun | : | 0000 |
| Volume | : | Vol. 7 Issue 1 0000 |
| Penerbit | : | Universitas Multimedia Nusantara (UMN) |
| Frekuensi Penerbitan | : | 1 x 1 tahun |
| Penulis | : | Raymond Sunardi Oetama |
| Abstraksi | : | This study is focused on enhancing Decision Tree on its capabilities in classification as well as prediction. The capability of decision tree algorithm in classification outperforms its capability in prediction. The classification quality will be enhanced when it works with resampling techniques such as Adaboost. |
| Kata Kunci | : | Data Mining; Decision Tree; Resampling; Credit Analyst. |
| Lokasi | : | P50 |
| Terakreditasi | : | belum |