Sang Van Ha

Sang Van Ha
Academy of finance · Economic Information System

Doctor of Philosophy


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Additional affiliations
October 2006 - March 2015
VNU University of Science
  • PhD Student
August 2004 - present
Academy Of Finance
  • Lecturer
October 2000 - June 2004
Đại học Sư phạm Hà Nội
Field of study
  • Information Technology


Publications (9)
Full-text available
Reliable credit scoring models played a very important role of retail banks to evaluate credit applications and it has been widely studied. The main objective of this paper is to build a hybrid credit scoring model using feature selection approach. In this study, we constructed a credit scoring model based on parallel GBM (Gradient Boosted Model),...
Full-text available
Background/Objectives: This article presents a method of feature selection to improve the accuracy and the computation speed of credit scoring models. Methods/Analysis: In this paper, we proposed a credit scoring model based on parallel Random Forest classifier and feature selection method to evaluate the credit risks of applicants. By integration...
Conference Paper
Full-text available
Credit scoring is one of the most important issues in financial decision-making. The use of data mining techniques to build models for credit scoring has been a hot topic in recent years. Classification problems often have a large number of features, but not all of them are useful for classification. Irrelevant and redundant features in credit data...
Full-text available
In financial risk, credit risk management is one of the most important issues in financial decision-making. Reliable credit scoring models are crucial for financial agencies to evaluate credit applications and have been widely studied in the field of machine learning and statistics. Deep learning is a powerful classification tool which is currently...
Full-text available
Principal component analysis (PCA) is an effective and well-known method for reducing high-dimensional data sets. Recently, KPCA (Kernel PCA), a nonlinear form of PCA, has been introduced into many fields. In this paper, we propose a new gene selection, namely Custom Kernel principal component analysis (C-KPCA). The new kernel function for KPCA is...
Technical Report
Full-text available
INTERNSHIP FINAL REPORT (02/12/2014-19/12/2014 at HRL) Trainee: HA VAN SANG Supervisor: Mr Yoshitaka Atarashi, Unit Leader Training officer: Mr Minemura and Mr Hiruta
Full-text available
Thế giới ngày càng trở nên bất ổn hơn, những bất ổn trong giá cả hàng hoá và các biến số tài chính thay đổi theo những chiều hướng khó có thể dự báo trước được. Thật vậy, liên tục có những dự báo sai lệch của các chuyên gia kinh tế hàng đầu. Trước khi ban quản trị có thể đưa ra bất kỳ một quyết định nào về phòng ngừa rủi ro, trước tiên họ cần phải...


Cited By


Project (1)