Title :
User-Driven Economic Data Analysis Framework
Author :
Joon Heo ; Okyu Kwon
Author_Institution :
Nat. Inst. for Math. Sci., Daejeon, South Korea
fDate :
June 27 2014-July 2 2014
Abstract :
Since Big data analysis needs specific algorithms and computation resources, general user should get analysis results unilaterally from information provider who has related infrastructures. In this paper, we show user-driven economic data analysis framework. Using the proposed framework and mobile App, user can select and transmit the kind of data and analysis parameters. The server of information provider which has economic Big data and mathematical algorithms performs analysis process according to transmitted parameters by user and sends back the analysis results.
Keywords :
Big Data; data analysis; mobile computing; big data analysis; economic big data; information provider; mathematical algorithms; mobile app; user-driven economic data analysis framework; Algorithm design and analysis; Big data; Business; Data analysis; Economics; Prototypes; Servers; analysis; economic data; mobile App; user-driven;
Conference_Titel :
Services (SERVICES), 2014 IEEE World Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5068-3
DOI :
10.1109/SERVICES.2014.54