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Visual analytics for variation characteristics of time-series data
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- KUDO Taichi
- Tokyo University of Agricultureand Technology
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- SAITO Takafumi
- Tokyo University of Agricultureand Technology
Bibliographic Information
- Other Title
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- 時系列データ変動特性の可視化による分析
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Description
We consider visualization techniques for analysis of large-scale time-series data. Purpose of analyzing time-series data is to find the characteristics of them, and to predict the variation of them. In time-series data analysis, it is common to find factors in variation of the data. However, it needs detailed knowledge of the data. Therefore, we propose some visualization techniques to find special behaviors of time-series data, and factors of them. We analyze electric power consumption data of TAT, find variation factors of it, and visualize them with calendar-based visualization technique. Then, we can overview whole data, and find trends and special behavior of it.
Journal
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- Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
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Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan 13.04 (0), 1-7, 2014
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282763120870272
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- NII Article ID
- 130007629191
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- ISSN
- 27589218
- 02853957
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed
