scholarly journals Financial Credit Risk Control Strategy Based on Weighted Random Forest Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guo Yangyudongnanxin
Keyword(s):  
Risk Assessment ◽  
Random Forest ◽  
Credit Risk ◽  
Control Strategy ◽  
Control Strategies ◽  
Risk Control ◽  
Evaluation Index System ◽  
Risk Level ◽  
Random Forest Algorithm ◽  
Financial Credit

In order to improve the effectiveness of financial credit risk control, a financial credit risk control strategy based on weighted random forest algorithm is proposed. The weighted random forest algorithm is used to classify the financial credit risk data, construct the evaluation index system, and use the analytic hierarchy process to evaluate the financial credit risk level. The targeted risk control strategies are taken according to different risk assessment results. We compared the proposed method with two other methods, and the experimental results show that the proposed method has higher classification accuracy of financial credit data and the risk assessment threshold is basically consistent with the actual results.

Mining Cross Features for Financial Credit Risk Assessment

2021 ◽  
Author(s):  
Qiang Liu ◽  
Zhaocheng Liu ◽  
Haoli Zhang ◽  
Yuntian Chen ◽  
Jun Zhu
Keyword(s):  
Risk Assessment ◽  
Credit Risk ◽  
Credit Risk Assessment ◽  
Financial Credit

scholarly journals Analisis Risiko Keselamatan dan Kesehatan Kerja (K3) dengan Metode Hazard Analysis (Studi Kasus pada Proyek Pembangunan Perumahan)

2020 ◽  
Vol 5 (1) ◽  
pp. 29
Author(s):  
Nidya Wisudawati ◽  
Rurry Patradhiani
Keyword(s):  
Risk Assessment ◽  
Hazard Analysis ◽  
Risk Control ◽  
Hazard Identification ◽  
Risk Level

Risiko kecelakaan kerja merupahal hal yang tak dapat dihindari dari kegiatan proyek pembangunan. PT Gran Anugerah Wijaya merupakan pengusaha pengembang perumahan yang sedang mengerjakan proyek pembangunanan 58 unit rumah tipe 36 yang berlokasi di daerah Palembang. Dari hasil pengamatan lapangan, alur proses pembangunan rumah yang dikerjakan meliputi pemasangan pondasi, pemasangan dinding, pemasangan kusen kayu, pemasangan rangka atap dan finishing. Hazard Identification, Risk Assessment dan Risk Control telah dilakukan dlaam penelitian ini. Hasil yang didapat bahwa terdapat 27 potensi risiko dengan risk level diantara rendah hinggi tinggi. Pengendalian risiko yang bisa dilakaukan untuk mengurangi bahaya kerja terhadap karyawan bangunan diantaranya substitusi, administrasi dan Alat Pelindung Diri (APD).

An improved SMO algorithm for financial credit risk assessment – Evidence from China’s banking

2018 ◽  
Vol 272 ◽  
pp. 314-325 ◽  
Author(s):  
Qi Zhang ◽  
Jue Wang ◽  
Aiguo Lu ◽  
Shouyang Wang ◽  
Jian Ma
Keyword(s):  
Risk Assessment ◽  
Credit Risk ◽  
Credit Risk Assessment ◽  
Financial Credit ◽  
Smo Algorithm

Risk Assessment and Risk Control for Navigation Environment of Dock Waters Adjacent to Fairway

2013 ◽  
Vol 779-780 ◽  
pp. 1162-1165
Author(s):  
Xun Yu
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Relative Risk ◽  
Index System ◽  
Risk Control ◽  
System Engineering ◽  
Control Measures ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Hainan Province

The System Engineering principles are applied to identify the risk factors of navigation environment of dock waters adjacent to fairway. The Evaluation Index System for risks of navigation environment of such a dock is established and the relative risk degrees among each index are reflected quantitatively by weights of risk factors obtained by adopting the method of AHP. Based on the identified risk factors, the risk control measures for navigation environment of dock waters adjacent to fairway are systematically put forward. One dock in Yangpu Port, Hainan Province, is cited as an example to analyze, and the risk control measures are proposed accordingly.

scholarly journals Credit Risk Assessment using Machine Learning Techniques

2019 ◽  
Vol 9 (1) ◽  
pp. 3482-3486
Keyword(s):  
Machine Learning ◽  
Risk Assessment ◽  
Random Forest ◽  
Credit Risk ◽  
Banking Sector ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Credit Risk Assessment ◽  
Learning Techniques ◽  
Cart Algorithm

Analysis of credit scoring is an effective credit risk assessment technique, which is one of the major research fields in the banking sector. Machine learning has a variety of applications in the banking sector and it has been widely used for data analysis. Modern techniques such as machine learning have provided a self-regulating process to analyze the data using classification techniques. The classification method is a supervised learning process in which the computer learns from the input data provided and makes use of this information to classify the new dataset. This research paper presents a comparison of various machine learning techniques used to evaluate the credit risk. A credit transaction that needs to be accepted or rejected is trained and implemented on the dataset using different machine learning algorithms. The techniques are implemented on the German credit dataset taken from UCI repository which has 1000 instances and 21 attributes, depending on which the transactions are either accepted or rejected. This paper compares algorithms such as Support Vector Network, Neural Network, Logistic Regression, Naive Bayes, Random Forest, and Classification and Regression Trees (CART) algorithm and the results obtained show that Random Forest algorithm was able to predict credit risk with higher accuracy

scholarly journals Comparison of efficiency of engineering and administrative interventions on risk level of occupational hazards in task of emergency nurses in yazd Shahid Rahnamoon hospital

2020 ◽  
Author(s):  
S Zibaei Karizi ◽  
A Esmaeili ◽  
A Akhavan ◽  
GH Halvani
Keyword(s):  
Risk Assessment ◽  
Control Strategies ◽  
Safety Analysis ◽  
Risk Level ◽  
Emergency Nursing ◽  
Occupational Hazards ◽  
Emergency Nurses ◽  
Risk Assessment Code ◽  
Job Safety ◽  
Mean Risk

Introduction: Emergency ward nurses are exposed to occupational hazards. Job Safety Analysis (JSA) is a way to identify and assess job-related risks and provide control strategies to reduce risks. The purpose of this study was to evaluate Job Safety Analysis and compare the efficacy of control (engineering and administrative) interventions in emergency nursing. Materials and Methods: This was an interventional study performed to assess the risk by Job Safety Analysis (JSA) in three groups of nurses working in emergrncy ward of Shahid Rahnemoon hospital in 2019. First, the initial risk assessment code (pre-intervention) estimated, then the engineering and administrative controls were implemented and the secondary risk assessment code (after intervention) was calculated after three months. Results: According to the results of the study، risk of musculoskeletal disorders with risk score of 20, was identified as the highest risk in all three emergency nursing groups, also mean risk assessment code for the occupational hazards in nurses was calculated which was in the unacceptable risk range and reached an acceptable level after performing administrative and engineering interventions. Conclusion: Results of this study showed that the implementation of engineering and administrative interventions had a positive effect on reducing the mean risk assessment code, also risk assessment code for occupational hazards reduced to almost the same amount with the implementation of each engineering and administrative intervention. This indicates similar role for these interventions in reducing the risk level.

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