DocumentCode :
2164588
Title :
Visual Data Mining of Application Services Data
Author :
Knoetze, Ronald ; Cilliers, Charmain ; Wesson, Janet
Author_Institution :
Dept. of Comput. Sci. & Inf. Syst., Nelson Mandela Metropolitan Univ., Port Elizabeth
fYear :
2006
fDate :
5-7 July 2006
Firstpage :
402
Lastpage :
410
Abstract :
Many network monitoring tools do not provide sufficiently in-depth and useful reports on network usage, particularly in the domain of application services data. Application services form an integral part of organizational networks. The optimization of the performance of these networks is only possible if the networks are effectively monitored. Techniques that identify patterns of network usage can assist in the successful monitoring of network performance. The focus of this paper is on the development of a visual data mining prototype, called NetPatterns, which facilitates the effective visualization of network performance data
Keywords :
data mining; data visualisation; NetPatterns; application service data; network monitoring tool; network performance data visualization; visual data mining; Algorithm design and analysis; Application software; Computerized monitoring; Condition monitoring; Data analysis; Data mining; Data visualization; Prototypes; Telecommunication traffic; Unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2006. IV 2006. Tenth International Conference on
Conference_Location :
London, England
ISSN :
1550-6037
Print_ISBN :
0-7695-2602-0
Type :
conf
DOI :
10.1109/IV.2006.121
Filename :
1648292
Link To Document :
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