Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1158
Title: | Finding Web Log Groups with Geometric Data Analysis |
Authors: | Koutsoupias, Nikos |
Type: | Article |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | weblog DATA ANALYSIS INTERNET clustering factor analysis patern discovery |
Issue Date: | 2010 |
Publisher: | cis |
Source: | Journal of Emerging Trends in Computing and Information Sciences |
Volume: | 2 |
Issue: | 3 |
First Page: | 126 |
Last Page: | 129 |
Abstract: | Researchers and marketing information specialists consider server based weblog data important grounds for studying web user behavior. This work suggests Geometric Data Analysis methods as tools for the visualization and interpretation of web page access patterns. Web-wide data logs are utilized to discover usage patterns, so to better serve the needs both of internetusage researchers and e-marketing specialists. |
URI: | https://ruomo.lib.uom.gr/handle/7000/1158 |
ISSN: | 2079-8407 |
Appears in Collections: | Department of International and European Studies |
Files in This Item:
File | Description | Size | Format | |
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[Π08]-Finding_Web_Log_Groups_with_Geometric_Data_Analysi.pdf | 145,65 kB | Adobe PDF | View/Open |
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