NURSELA, DWI AYU (2014) PENERAPAN ALGORITMA C4.5 UNTUK KLASIFIKASI TINGKAT KEGANASAN KANKER PAYUDARA. Skripsi, Fakultas Ilmu Komputer.
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Abstract
Breast cancer is a disease characterized by abnormal cells grow out of control in the breast. This suggests that breast cancer is a highly malignant disease and requires the sufferer to do intensive examinations by detecting early the level of breast cancer malignancy. In this study used data mining techniques with the C4.5 algorithm. This study aims to classify the level of malignancy of breast cancer using the C4.5 algorithm. This study uses 9 attributes and attribute weighting performed to calculate the relevance of each attribute. The results of the weighting of attributes is of 9 attributes were used, only 6 attributes that affect the pattern of the decision tree and the accuracy obtained is equal to 98.57%. The results of the modeling is then performed using C4.5 algorithm and generates rules to be applied to the implementation of the classification system malignancies of breast cancer. The model is successfully applied to the system for classifying the level of malignancy of breast cancer.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > Teknik Informatika > INF Informatika Universitas Dian Nuswantoro > Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika Semantik 2013 > INF Informatika |
| Divisions: | Library of Congress Subject Areas > T Technology > Teknik Informatika > INF Informatika Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika Semantik 2013 > INF Informatika |
| Depositing User: | Psi Udinus |
| Date Deposited: | 09 Sep 2014 15:26 |
| Last Modified: | 22 Nov 2014 06:22 |
| URI: | http://eprints.dinus.ac.id/id/eprint/5403 |
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