2021 International Conference on Computer, Blockchain and Financial Development (CBFD)最新文献_第3页

Research on agricultural products traceability information encryption based on block chain 基于区块链的农产品溯源信息加密研究

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00073

Chen De-hai, Lei Zhi-Jun, Sun Shi-Ru, Wang Yu-Zhao

引用次数: 0

Research on Distributed Energy Network Transaction Model Based on Blockchain 基于区块链的分布式能源网络交易模型研究

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00069

Zhixin Liu, Hui Pang, Yanan Li, Shijie Li

引用次数: 1

Stock Prices Prediction Based on ARMA Model 基于ARMA模型的股票价格预测

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00046

Huanze Tang

引用次数: 0

Challenges and Opportunities of Self-driving Vehicles 自动驾驶汽车的挑战与机遇

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00056

Yanli Zhang, Zeyu Xiong, Xin Liang

引用次数: 0

Research on Credit Risk Control of Commercial Banks Based on Data Mining Technology 基于数据挖掘技术的商业银行信贷风险控制研究

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00083

Hongjun Cui

{"title":"Research on Credit Risk Control of Commercial Banks Based on Data Mining Technology","authors":"Hongjun Cui","doi":"10.1109/CBFD52659.2021.00083","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00083","url":null,"abstract":"Credit risk is the most important part of commercial banks' risk management, risk management is the core issue of banks' financial management, and the good or bad credit risk management directly affects banks' efficiency and is one of the effective means to avoid non-performing loans. Under the various business development and promotion of banks, their non-performing loan rate is also growing year by year, which not only affects the rapid and healthy development of banks, but even leads to the expansion of the scale of bank liabilities. In the era of big data, the importance of proper utilization of data has gradually emerged, which brings challenges and opportunities to commercial banks, and the ability to make good use of big data has become the key to risk management for commercial banks. Data mining is a cross-disciplinary field that brings together techniques and methods from databases, statistics, machine learning and other fields. It can uncover potentially useful information and knowledge from a large amount of banking data and provide managers with effective information for decision making, which in turn can prevent and manage risks more effectively. Based on data mining technology, this paper investigates bank credit risk management methods to effectively solve the credit risk control problems of commercial banks, optimize the credit project process, improve the quality of credit delivery, and provide reference for credit risk management related personnel.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126434285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Current Status and Analysis of My Country's E-commerce Marketing Research Based on CiteSpace 基于CiteSpace的我国电子商务营销研究现状与分析

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00103

Xiaoyu Qu, Ziyue Wang

引用次数: 0

Uncertain Mean-variance model for project selection in P2P online lending platforms P2P网络借贷平台项目选择的不确定均值-方差模型

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00105

Wenju Zhao, Zenglian Zhang

引用次数: 0

Using Machine Learning Method to Qualify and Evaluate the Regional Economy 利用机器学习方法对区域经济进行定性和评价

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00062

Jiongcheng Lu, Zhongxuan Zhang, N. Sai

{"title":"Using Machine Learning Method to Qualify and Evaluate the Regional Economy","authors":"Jiongcheng Lu, Zhongxuan Zhang, N. Sai","doi":"10.1109/CBFD52659.2021.00062","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00062","url":null,"abstract":"As the economic lifeline of Southwest China, Sichuan Province has contributed to Chinese sustainable economic development, the most prominent Chengdu. Chengdu-Chongqing area has been pivotal in China's regional development plate. In the 14th Five-Year Plan of China, the implementation of the Chengdu-Chongqing double cities economic circle is emphasized from different aspects. This policy can directly stimulate the regional economy, thus driving the economic development of Sichuan. Accordingly, the study takes the GDP in 2018 of 21 cities of Sichuan province as the dependent variable. Except for the traditional financial method or model, the study adopts one of the Machine Learning methods, Principal Component Analysis (PCA), to compare the development level of 21 cities horizontally and vertically. Meanwhile, within the Machine Learning method, the new model's sampling accuracy is 0.803, and the first two principal components could interpret 91.206% of the total variance. Therefore, the study evaluates, analyzes the results of new ranks of 21 cities, exploring the possibility of coordinated economic development of Sichuan province under the background of the construction of twins \"Chengdu-Chongqing economic circle.\" Hopefully, the consequence of research provides a theoretical reference for the policy implementation.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131086136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Personal health data identity authentication matching scheme based on blockchain 基于区块链的个人健康数据身份认证匹配方案

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00091

Zhang Gong-Guo, Ou Zuo

{"title":"Personal health data identity authentication matching scheme based on blockchain","authors":"Zhang Gong-Guo, Ou Zuo","doi":"10.1109/CBFD52659.2021.00091","DOIUrl":"https://doi.org/10.1109/CBFD52659.2021.00091","url":null,"abstract":"Although medical informatization is gradually improving, the security and privacy of personal health data are still vulnerable to threats under the traditional electronic data storage mode. At the same time, when an individual goes to a medical institution to see a doctor, the individual is not present, and the personal health data does not match the individual’s identity, resulting in a medical accident. In severe cases, it may even threaten the safety of the individual’s life. In addition, patients can not extract the existing personal health data in real time when the smart card is lost. In response to the above problems, a blockchain-based personal health data identity authentication matching scheme is proposed, which has the characteristics of data immutability and decentralization. Using fuzzy extraction technology to extract personal biometrics to generate random keys can effectively solve the problem of biometrics being unusable after the biometrics are leaked. Through smart contracts, the random key can be authenticated to achieve identity matching. The security performance analysis of the model shows that the proposed solution has security attributes such as anti-man-in-the-middle attack and anti-replay attack, and can realize anti-tampering of personal health data, and effectively protect privacy; under the premise of ensuring data security, through intelligent the contract performs access control, and personal health data can be accurately authenticated and matched with personal identity.","PeriodicalId":230625,"journal":{"name":"2021 International Conference on Computer, Blockchain and Financial Development (CBFD)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128606775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Effect of Car Industry in US Stock Market during COVID-19 Based on Fama-French Five-Factor Model 基于Fama-French五因素模型的新冠肺炎期间汽车行业对美国股市的影响

2021 International Conference on Computer, Blockchain and Financial Development (CBFD) Pub Date : 2021-04-01 DOI: 10.1109/CBFD52659.2021.00036

Yubin Yang

引用次数: 0