DocumentCode :
3290150
Title :
A Work-Centered Visual Analytics Model to Support Engineering Design with Interactive Visualization and Data-Mining
Author :
Xin Yan ; Mu Qiao ; Jia Li ; Simpson, T.W. ; Stump, G.M. ; Xiaolong Zhang
fYear :
2012
fDate :
4-7 Jan. 2012
Firstpage :
1845
Lastpage :
1854
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.
Keywords :
aerospace components; aerospace computing; data analysis; data mining; data visualisation; decision making; design engineering; interactive systems; aircraft wing sizing; automatic simulating software; data mining; data oriented computational algorithms; decision making; design data sets; knowledge discovery; large scale multidimensional continuous data sets; learning based interactive visualization for engineering design; user centered interactive visualization; work centered visual analytics model; Algorithm design and analysis; Clustering algorithms; Computational modeling; Data mining; Data models; Data visualization; Visual analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science (HICSS), 2012 45th Hawaii International Conference on
Conference_Location :
Maui, HI
ISSN :
1530-1605
Print_ISBN :
978-1-4577-1925-7
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2012.87
Filename :
6149110
Link To Document :
بازگشت