NDLI: Visualization of Web Usage Patterns

Content Provider	IEEE Xplore Digital Library
Author	Kannappady, S. Mudur, S.P. Shiri, N.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Software Eng., Concordia Univ., Montreal, Que. (Kannappady, S.; Mudur, S.P.; Shiri, N.)
Abstract	We present a novel approach to visualize Web usage patterns by closely coupling the visual rendering process to the data mining technique. In the first step we use relational fuzzy subtractive clustering as the mining technique to perform fuzzy clustering on Web usage sessions. In the second step, we use conventional metric multidimensional scaling to obtain an initial positional configuration in 3D space for the cluster centers, and then apply a modified Sammon mapping technique to further optimize the 3D positions. In the last step, we use the dominant membership values to assign positions to all the other sessions in the given dataset. This is computationally very efficient and at the same time retains the fidelity of the interrelationships much better. We have developed a running prototype of the proposed approach and have demonstrated the utility through experiments using several datasets, including a fairly large Web usage dataset of about 100,000 log records
Sponsorship	IEEE Comput. Soc. IEEE Concordia Univ
Starting Page	220
Ending Page	227
File Size	478275
Page Count	8
File Format	PDF
ISBN	0769525776
ISSN	10988068
DOI	10.1109/IDEAS.2006.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Data visualization Rendering (computer graphics) Multidimensional systems Web pages Web server Clouds Computer science Software engineering Prototypes
Content Type	Text
Resource Type	Article

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