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
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