DocumentCode :
2859326
Title :
Research on Visualization Techniques in Data Mining
Author :
Hailiang Jin ; Liu, Hongying
Author_Institution :
Key Lab. of Mine Spatial Inf. Technol. of State Bur. of Surveying & Mapping, Henan Polytech. Univ., Jiaozuo, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
3
Abstract :
Visual data mining can help in dealing with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process, through analysis the results of the information visualization, user can integrate the specialist knowledge with the data mining algorithm. This paper summarizes current visualization methods applied in data mining. Current applications about visual data mining technique are analyzed combining with some national advanced data mining tools. Trends are clarified based on the task and object of visual data mining.
Keywords :
data mining; data visualisation; visual data exploration; visual data mining; visualization method; Algorithm design and analysis; Cognition; Data analysis; Data mining; Data visualization; Displays; Graphics; Humans; Information technology; Laboratories;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5365927
Filename :
5365927
Link To Document :
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