Presentation 2017-06-24
A Data Generation Method for Bic Data Analysis Prototypes and its Applications to Human Resource Data
Jun Miyazaki, Naofumi Yoshida,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) One of the most important issue of big data analysis is that it is hard to access big data. When we develop information systems for big data, the problem is critical. In this paper, we show a data generation method for big data, especially for prototypes of information systems on big data analysis. Also, we show an application to human resource data. The method enables us to develop rapid prototypes, visualize information systems, and improve the way of big data analysis.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Data Generation / Big Data Analysis / Rapid Prototype / Huma Resource Data
Paper # DE2017-8
Date of Issue 2017-06-16 (DE)

Conference Information
Committee DE
Conference Date 2017/6/23(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akiyo Nadamoto(Konan Univ.)
Vice Chair Koji Eguchi(Kobe Univ.) / Shingo Otsuka(Kanagawa Inst. of Tech.)
Secretary Koji Eguchi(Kogakuin Univ.) / Shingo Otsuka(Univ. of Marketing and Distrbution Science)
Assistant Kazuo Goda(Univ. of Tokyo) / Yuroaki Shiokawa(Tsukuba Univ.)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Data Generation Method for Bic Data Analysis Prototypes and its Applications to Human Resource Data
Sub Title (in English)
Keyword(1) Data Generation
Keyword(2) Big Data Analysis
Keyword(3) Rapid Prototype
Keyword(4) Huma Resource Data
1st Author's Name Jun Miyazaki
1st Author's Affiliation Komazawa University(Komazawa Univ.)
2nd Author's Name Naofumi Yoshida
2nd Author's Affiliation Komazawa University(Komazawa Univ.)
Date 2017-06-24
Paper # DE2017-8
Volume (vol) vol.117
Number (no) DE-108
Page pp.pp.27-29(DE),
#Pages 3
Date of Issue 2017-06-16 (DE)