DocumentCode :
119606
Title :
VAST challenge 2014: Mini-challenge 1
Author :
Song, Qiang ; Li, Rui ; Yin, Peng
Author_Institution :
University of Chinese Academy of Sciences
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
329
Lastpage :
330
Abstract :
In this paper, we address the Mini Task I of Min-Challenge I, pluging in knowledge and some techniques of data mining and information visualization into our assignment. The background of Mini-Challenge I describes a virtual story of a famous gas company(GAStech), which had suffered employees missing during company celebration, asking for help to find out the suspicious criminals. As an analyst, our task is to use visual analytics to analyze the available data and develop responses to the questions. By using Matlab, Python and D3.js, we gave out a reasonable conclusion and proper answers to the questions.
Keywords :
Data mining; information visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris, France
Type :
conf
DOI :
10.1109/VAST.2014.7042550
Filename :
7042550
Link To Document :
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