Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

A Model-Driven Method to Generate Visual Analytics System

Authors
Ying Qian, Shuai Zhao
Corresponding Author
Ying Qian
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.104How to use a DOI?
Keywords
Visual Analysis, System-generated, Model Driven, Development Method
Abstract

With the increasing development of requirements and frequent changes in business needs, the total costs of visual analysis systems for commercial applications increase continuously in recent years. To develop a visual analysis systems, the developers are required to have academic background knowledge in data visualization. However, the demanders of these system in commercial field often do not have such backgrounds. To solve this problem, this paper proposes a Model - Driven Visual Analytics System Generate Method (MDVAM) and gives application examples of this method in the framework of WinForm and the C# language as well. These examples proved that the visual analysis generation system using the method can make the non-expert users complete system development tasks quickly and efficiently.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-189-6
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.104How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ying Qian
AU  - Shuai Zhao
PY  - 2016/06
DA  - 2016/06
TI  - A Model-Driven Method to Generate Visual Analytics System
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 499
EP  - 507
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.104
DO  - 10.2991/icamcs-16.2016.104
ID  - Qian2016/06
ER  -