最新刊期

    卷 3 , 期 1 , 2017

      TOPIC:BIG DATA AND CREDIT SCORING SYSTEM

    • ISO 8000 (big) data quality standard and application

      Tan ZHANG, Wei HUANG, Yong SHI
      Vol. 3, Issue 1, Pages: 2017001(2017) DOI: 10.11959/j.issn.2096-0271.2017001
      摘要:Background of ISO 8000 was introduced,and ISO 8000 was compared with existing product quality standard ISO 9000.After that,the advantages that ISO 8000 can bring to the enterprise were analyzed.Then,the application of ISO 8000 with a simple example was demonstrated.The current situation of data quality in China was analyzed,and some suggestions on implementing ISO 8000 data quality standards in financial and medical fields were put forward.It aims to promote the construction of large data and data quality.  
      关键词:big data quality;ISO 8000;big data quality standard   
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    • Comparison of standard specification system of financial big data

      Kun GUO, Jianping LI
      Vol. 3, Issue 1, Pages: 2017002(2017) DOI: 10.11959/j.issn.2096-0271.2017002
      摘要:Contents of financial data standard specification system are extensive and diversified.The investigation and comparative study on domestic and foreign financial big data standard system was carried on.It is found that part of the domestic standards was revised based on the related foreign ones,while others had significant characteristics of China financial market.Then a series of recommendations were proposed to improve China’s financial data standard,which provided a reference for realization of corresponding standardized operation of financial big data.  
      关键词:financial big data;standard specification;financial data   
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    • Credit scoring:basic theory and applications

      Yong SHI, Fan MENG
      Vol. 3, Issue 1, Pages: 2017003(2017) DOI: 10.11959/j.issn.2096-0271.2017003
      摘要:Credit scoring is the foundation of market transactions all over the world.Big data analysis based credit scoring plays an immeasurable role in global economics.In the 13th Five-Year Plan of China,it has been proposed as strategic developmental goal to develop and accomplish credit scoring system in all the industries and economic departments.The development of credit scoring system,the advanced techniques in credit scoring and cases of big data based on credit scoring systems were outlined.Suggestions and prospects on big data scoring systems were concluded.  
      关键词:credit scoring system;data mining;big data credit   
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    • Challenge and countermeasure of big data credit reporting in China

      Youyuan LI, Gang KOU
      Vol. 3, Issue 1, Pages: 2017004(2017) DOI: 10.11959/j.issn.2096-0271.2017004
      摘要:Big data credit reporting could meet the financial needs of the people who have little or no credit records,and is a useful complement to the traditional credit.The development of big data credit reporting is of great significance to the inclusive finance and the construction of social credit system in China.The current situation of big data credit reporting in the United States and China were described and the characteristics of big data credit reporting were summarized.Also,the shortcomings and challenges of big data credit reporting in China were discussed.Finally,solutions and polices were also proposed.  
      关键词:big data technology;credit system;credit scoring   
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    • Qian YAO, Huamei XIE, Songling LIU, Xiangju LI, Xinhai LIU, Zhigang JING
      Vol. 3, Issue 1, Pages: 2017005(2017) DOI: 10.11959/j.issn.2096-0271.2017005
      摘要:The huge multisource data of enterprise credit system was applied to study strategies of industrial restructuring from the credit perspective of the past decade,and the interactive relationship between industrial restructuring and credit supply was studied.Furthermore,empirical analysis was took to study inter-industry credit resource of every economic area by establishing credit industrial change index.The studies show that the synchronization is existed between credited structure adjustment and industrial structure adjustment,however some industries and regions are obtained less credit support during the adjustment process.The research shows that credit data could provide decision support for the implementation of industrial restructuring and credit resources allocation.  
      关键词:industrial restructuring;enterprise credit system;supply of credit   
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    • Credit risk evaluation with text big data from text

      Yang YANG, Yimao ZHOU, Zongfang ZHOU
      Vol. 3, Issue 1, Pages: 2017006(2017) DOI: 10.11959/j.issn.2096-0271.2017006
      摘要:Banks have more text information pertaining to credit risk of enterprises.This information is more complete and standardized compared with that of individuals.Nevertheless,this incremental information of enterprise credit risk,which is contained in documents has not been effectively utilized by banks.The role of text big data on credit risk evaluation through annual reports and commentaries of crowds on networks was explored.It found that both the annual reports and crowds’ commentaries significantly contain the incremental information on credit risk of enterprises.  
      关键词:text;big data;credit risk;evaluation   
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      STUDY

    • Multisource heterogeneous big data processing architecture in smart city

      Yan LIU, Hua WANG, Yeyang QIN, Xingjie ZHU
      Vol. 3, Issue 1, Pages: 2017007(2017) DOI: 10.11959/j.issn.2096-0271.2017007
      摘要:The focus of smart city construction has been transferred from the tradition IT systems and sharing of information resources construction into the data mining operations and the flow of data assets.Big data center is the physical infrastructure of data assets management and utilization.Its core driver includes big data platform and kinds of data mining and analysis systems.The functional architecture of big data center in smart cities was discussed.And around the actual needs of urban multisource heterogeneous data processing,the structure of the big data platform used by parts was explained.Then taking the video processing as an example,the working flow of big data platform in the big data center was described.  
      关键词:smart city;big data;multisource and heterogeneous;video analysis   
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    • Visual analyses of mobile phone base station location data

      Haisheng LI, Yuanjie HUANG, Xuan SONG, Junping DU, Guorun CHEN, Fuqiang DING
      Vol. 3, Issue 1, Pages: 2017008(2017) DOI: 10.11959/j.issn.2096-0271.2017008
      摘要:Mobile phone base station location data contains rich spatio-temporal information.A visual analytic method based on per call measurement data (PCMD) was designed.A base station positioning method based on PCMD to extract mobile phone users’ trajectories was designed.An agglomerate hierarchical clustering algorithm was improved to cluster trajectories efficiently.Flow map and heat map were employed to present the clustering result and the overall distribution of mobile phone users at a specific time.This method was applied to the dataset of Shanghai mobile phone base station data,which has achieved satisfied results.  
      关键词:mobile phone base station location data;trajectory clustering;flow map;visual analyses   
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      APPLICATION

    • Innovation and development of big data ability open platform

      Dazhong LI, Jian LIU, Jingwen DENG
      Vol. 3, Issue 1, Pages: 2017009(2017) DOI: 10.11959/j.issn.2096-0271.2017009
      摘要:China Unicom has built a cooperation platform called big data ability open platform based on its own advantages in order to establish a win-win cooperative,coexistent,and sustainable eco-system.The open platform provides variety services in the form of multi-tenancy model for branch companies and partners in aspects of ability access,resource isolation,operation,security,and data services.The open platform satisfies the requirements of internal and external storage capacity and computing ability,data services,and platform tools,thus brings enormous benefits to China Unicom Headquarters.  
      关键词:big data ability open platform;data service;multi-tenancy   
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    • Changqing DONG, Nver REN, Qingyu ZHANG, Yujing TIAN
      Vol. 3, Issue 1, Pages: 2017010(2017) DOI: 10.11959/j.issn.2096-0271.2017010
      摘要:Traffic data has the characteristics of massive and real-time,and its massive data acquisition,storage and retrieval has become a key issue in the vehicle remote monitoring platform.According to the study of these problems,the cluster technology of LVS was used to solve the data acquisition load balance,the queue cache model was used to solve I/O delay,and HBase distributed data storage scheme was used to solve the massive data storage.HBase integration ElasticSearch,which was aimed to solve the real-time online data processing problems of Hadoop,was designed to build a hierarchical index.Through the design and implementation of the key technologies,the number of vehicle monitoring had been promoted from 400 to 1 million,online query speed increased about 10 to 20 times based on PB level data.The results verified the efficiency of the scheme.  
      关键词:Hadoop/HBase;ElasticSearch;Linux virtual server;massive data;real-time   
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      FORUM

    • Jianfeng CAO
      Vol. 3, Issue 1, Pages: 2017011(2017) DOI: 10.11959/j.issn.2096-0271.2017011
      摘要:From the necessity of establishing the data protection clause,a conclusion that the Article 124 of General Principles of Civil Law (Draft for Second Reading) is reasonable was obtained.On one hand,from systems perspective,since the data that accords with the characteristics of intellectual property has been covered by intellectual property law,therefore there is no need to create a new subject matter of intellectual property for data; on the other hand,with the development of big data industry,legal protection for data both is of significance and based on industry development.When designing legal framework for data protection,the legislator should take big data industry development,the coordination with existing legal systems,effects of law implementation and other relevant factors into account.  
      关键词:data protection;intellectual property;coordination   
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      TREND

    • Scheduling system based on takeaway logistics big data

      Vol. 3, Issue 1, Pages: 2017013(2017) DOI: 10.11959/j.issn.2096-0271.2017013
        
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