Publikasi Ilmiah STMIK Banjarbaru
metadata only
Klasifikasi Penentuan Pengajuan Kartu Kredit Nasabah Pada Bank Mandiri Dengan Metode Naive Bayes
The selection process for credit card applications is a challenge for banks because it still relies heavily on manual evaluation which is prone to subjectivity and inefficiency. This research aims to develop a classification system for credit card applications using the Naive Bayes method to increas
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Genetic Algorithm Optimisation for Finance and Investments#1278124
- MACHINE LEARNING APPROACHES FOR FRAUD DETECTION IN FINANCIAL NETWORKS#28969
- MACHINE LEARNING APPROACHES FOR FRAUD DETECTION IN FINANCIAL NETWORKS#28968
- O'ZBEKISTON BANK TIZIMIDA PRUDENSIAL NAZORAT MEXANIZMLARINI TAKOMILLASHTIRISHNING XALQARO TAJRIBASI#267444
- Penerapan Data Mining Untuk Memprediksi Kelulusan Mahasiswa Menggunakan Algoritma Naive Bayes Classifier (Studi Kasus STMIK Primakara)#1225983
Record · ID 1226235
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive