Abstract
The objective of our study is to support user analysis of time series data in an exploratory manner. Such exploratory analysis requires repeated access to various types of information that are related to user interests, such as text and numeric data. To support such analyses, we have developed a system that visualizes temporal changes in time series data and presents the causes of those changes. In this study, we improve the design of our previous system by strengthening the linkage between graphs and articles and adding graph interactions. In addition, we conduct user experiments and evaluate the point of arrival of the system.
Artifacts
Information
Book title
Proc. The 2017 Conference on Technologies and Applications of Artificial Intelligence
Date of issue
2017/12/01
Date of presentation
2017/12/01
Location
Taipei, Taiwan (National Taiwan University)
DOI
10.1109/TAAI.2017.29
ISSN
2376-6824
Citation
Yuki Iwasaki, Shun Naito, Mitsunori Matsushita. Strengthening Data Linkage to Improve Visualization System for Exploratory Analysis, Proc. The 2017 Conference on Technologies and Applications of Artificial Intelligence , No.43, 2017.
Source URL