張 南
   所属   広島修道大学  経済科学部
   職種   教授
言語種別 英語
発行・発表の年月 2018/02
形態種別 学術論文
査読 査読有り
標題 Big Data Techniques for Measuring Global Flow of Funds
執筆形態 単著
掲載誌名 Recent Studies in Economic Sciences, Information Systems, Project Managements, Economics
掲載区分国内
出版社・発行元 Kyushu University Press
巻・号・頁 pp.29-44
頁数 15
概要 Big data refers to the conventional software tools in a certain period to crawl the content management and the data set. Big Data Technology (BDT) refers to the various types of data, the ability to quickly obtain valuable information. It is suitable for big data technology, including database, data mining, distributed file system, distributed database, cloud computing platform, the Internet, and scalable storage system. BDT can also be used to compile monetary and financial statistics, especially to measure the Global Flow of Funds (GFF). This paper is focuses on building a statistical framework for measuring GFF, explore how to use BDT to integrates the data sources, and improve the timeliness of the existing data transmission. Applying BDT to measure GFF can provide important basis for policy authorities to guard against financial risks.