Design and implementation of bigdata visualization system based on meta DB automatic mapping algorithm
- Authors
- Cho, W.-J.; Shim, J.-S.; Park, S.-C.
- Issue Date
- 2016
- Publisher
- International Information Institute Ltd.
- Keywords
- Automatic mapping algorithm; Bigdata; Meta DB; Visualization
- Citation
- Information (Japan), v.19, no.2, pp.673 - 681
- Journal Title
- Information (Japan)
- Volume
- 19
- Number
- 2
- Start Page
- 673
- End Page
- 681
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/8798
- ISSN
- 1343-4500
- Abstract
- In this study, a big data visualization system, based on the automatic meta database mapping algorithm, is proposed to ensure fast data updates and chart modification through efficient meta database management. First, the big data visualization processing technology was analyzed. Based on the results of the analysis, an automatic meta database mapping algorithm was designed to implement the big data visualization system. The average time required for the processing unit was tested to evaluate the performance of the proposed system, and the visualization time was 0.254 s - 3.152 s faster in the proposed system than in the existing system. © 2016 International Information Institute.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/8798)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.