DocumentCode :
1971421
Title :
Survey of information visualization techniques for exploitation in KDD
Author :
Ltifi, Hela ; Ayed, Mounir Ben ; Alimi, Adel M. ; Lepreux, Sophie
Author_Institution :
Res. Group on Intell. Machines, Univ. of Sfax, Sfax
fYear :
2009
fDate :
10-13 May 2009
Firstpage :
218
Lastpage :
225
Abstract :
The last years witnessed a continued growth of the amount of data. The data analysis and exploration has become more and more difficult. So, it seems important to find means to visually represent this flood of data. Information visualization can help any user to get and understand information efficiently and implicate him/her in the data mining process thanks to our perception possibilities. The visualization domain proposes a large number of information visualization techniques which have been developed over the last decade to support the exploration of large data sets. In this paper, we propose a classification of information visualization techniques. We present also each technique, its advantages and disadvantages.
Keywords :
data analysis; data mining; data visualisation; Knowledge Discovery from Data; data analysis; data exploration; data mining process; information visualization; Data analysis; Data engineering; Data mining; Data visualization; Floods; Humans; Information analysis; Machine intelligence; Pattern analysis; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on
Conference_Location :
Rabat
Print_ISBN :
978-1-4244-3807-5
Electronic_ISBN :
978-1-4244-3806-8
Type :
conf
DOI :
10.1109/AICCSA.2009.5069328
Filename :
5069328
Link To Document :
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