Browsing UT - Computer Science by Subject "oversampling"
Now showing items 1-6 of 6
-
Klasifikasi Debitur Kartu Kredit Menggunakan Algoritme K-Nearest Neighbor untuk Kasus Imbalanced Data
(2013)Data is said to suffer the class imbalanced problem when the class distribution are highly imbalance. In this case, minority class is more difficult to predict then the majority class. Though the minority class sometime ... -
Klasifikasi Debitur Kartu Kredit Menggunakan Algoritme Support Vector Machine Linear Kernel untuk Kasus Imbalanced Data
(2014)In this research, classification analysis of credit card debtors is conducted by using support vector machine linear kernel that can classify debtors into two categories good or bad. The data used in this research is ... -
Klasifikasi imbalanced data menggunakan weighted k-nearest neighbor pada data debitur kartu kredit bank
(2014)Manajemen risiko kredit bertujuan untuk meminimalkan potensi kerugian dari kredit macet. Analisis data debitur bermasalah yang sudah ada dapat menjadi model dalam kualifikasi pemberian kredit selanjutnya. Data debitur bank ... -
Klasifikasi Naive Bayes pada Data Tidak Seimbang untuk Kasus Prediksi Resiko Kredit Debitur Kartu Kredit.
(2014)Banking business in Indonesia is still dominated by the credit business field. Most of the bank's revenue comes from this business field. Unfortunately, credit risk can cause problems in loans which can reduce the bank’s ... -
Klasifikasi Nasabah Kartu Kredit Menggunakan Algoritme Fuzzy K-Nearest Neighbor pada Data Tidak Seimbang
(2013)Debtor classification is a crucial banking process in order to identify potential problematic credit card applicant. This information is to support decision making in accepting or rejecting the application. The classification ... -
Prediksi Struktur Sekunder Protein menggunakan Hidden Markov Model pada Imbalanced Data
(2014)This research aimed to predict protein secondary structure using Hidden Markov Model. A total of 780 data, will be conducted with 600 training data and 180 testing data. Training data obtained protein secondary structure ...