Abstract
| Original language | English |
|---|---|
| Title of host publication | INFOCOMP 2013: The Third International Conference on Advanced Communications and Computation |
| Publisher | International Academy, Research, and Industry Association IARIA |
| Pages | 49-54 |
| ISBN (Print) | 978-1-61208-310-0 |
| Publication status | Published - 2013 |
| MoE publication type | A4 Article in a conference publication |
| Event | 3rd International Conference on Advanced Communications and Computation, INFOCOMP 2013 - Lisbon, Portugal Duration: 17 Nov 2013 → 22 Nov 2013 |
Conference
| Conference | 3rd International Conference on Advanced Communications and Computation, INFOCOMP 2013 |
|---|---|
| Abbreviated title | INFOCOMP 2013 |
| Country | Portugal |
| City | Lisbon |
| Period | 17/11/13 → 22/11/13 |
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Keywords
- visual analytics
- measurement data management
- information visualization
Cite this
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Framework for visual analytics of measurement data. / Järvinen, Paula; Siltanen, Pekka; Rainio, Kari.
INFOCOMP 2013: The Third International Conference on Advanced Communications and Computation. International Academy, Research, and Industry Association IARIA, 2013. p. 49-54.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Framework for visual analytics of measurement data
AU - Järvinen, Paula
AU - Siltanen, Pekka
AU - Rainio, Kari
PY - 2013
Y1 - 2013
N2 - Visual analytics is a recent research field for finding knowledge from data masses. It combines the strengths of automatic data processing, and the visual perception and analysis capabilities of the human user. This article represents a framework for analysis of measurement data with the help of visual analytics. The framework consists of a message service platform for collecting and unifying measurement data, and a visual analytics tool for analysis. The platform receives data from different types of measurement devices and transforms the data into unified format that applications can use through standard interfaces. With the visual analytics tool users can analyse the data coming from the platform. The tool shows data as interactive visualizations, both abstract and descriptive, and suggests analysis methods to the user. User performs reasoning by interpreting a series of consecutive visualizations. The framework frees the analyst from the time demanding data pre-processing and makes analysis possible without special skills and expertise in data analysis. A prototype application to demonstrate the framework is presented. Examples with real data show how explanations for building energy consumption can be reasoned with the help of the visual analytics tool.
AB - Visual analytics is a recent research field for finding knowledge from data masses. It combines the strengths of automatic data processing, and the visual perception and analysis capabilities of the human user. This article represents a framework for analysis of measurement data with the help of visual analytics. The framework consists of a message service platform for collecting and unifying measurement data, and a visual analytics tool for analysis. The platform receives data from different types of measurement devices and transforms the data into unified format that applications can use through standard interfaces. With the visual analytics tool users can analyse the data coming from the platform. The tool shows data as interactive visualizations, both abstract and descriptive, and suggests analysis methods to the user. User performs reasoning by interpreting a series of consecutive visualizations. The framework frees the analyst from the time demanding data pre-processing and makes analysis possible without special skills and expertise in data analysis. A prototype application to demonstrate the framework is presented. Examples with real data show how explanations for building energy consumption can be reasoned with the help of the visual analytics tool.
KW - visual analytics
KW - measurement data management
KW - information visualization
M3 - Conference article in proceedings
SN - 978-1-61208-310-0
SP - 49
EP - 54
BT - INFOCOMP 2013: The Third International Conference on Advanced Communications and Computation
PB - International Academy, Research, and Industry Association IARIA
ER -