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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin Yan Mu Qiao Jia Li Simpson, T.W. Stump, G.M. Xiaolong Zhang |
| Copyright Year | 2012 |
| Abstract | To support the knowledge discovery and decision making from large-scale, multi-dimensional, continuous data sets, novel systems of visual analytics need the capability to identify hidden patterns in data that are critical for in-depth analysis. In this paper, we present a work-centered approach to support visual analytics of complex data sets by combining user-centered interactive visualization and data-oriented computational algorithms. We design and implement a specific system prototype, Learning-based Interactive Visualization for Engineering design (LIVE), for engineering designers to handle overwhelming information such as numerous design alternatives generated from automatic simulating software. During the exploration within a "trade space" consisting of possible designs and potential solutions, engineering designers want to analyze the data, discover hidden patterns, and identify preferable solutions. The proposed system allows designers to interactively examine large design data sets through visualization and interactively construct data models from automatic data mining algorithms. We expect that our approach can help designers efficiently and effectively make sense of large-scale design data sets and generate decisions. We also report a preliminary evaluation on our system by analyzing a real engineering design problem related to aircraft wing sizing. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 1845 |
| Ending Page | 1854 |
| File Size | 558393 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781457719257 |
| ISSN | 15301605 |
| e-ISBN | 9780769545257 |
| DOI | 10.1109/HICSS.2012.87 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-01-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data visualization Algorithm design and analysis Data models Data mining Computational modeling Clustering algorithms Visual analytics |
| Content Type | Text |
| Resource Type | Article |
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