Creating meaningful data from web logs for improving the impressiveness of a website by using path analysis method
| dc.contributor.author | Das, Resul | |
| dc.contributor.author | Turkoglu, Ibrahim | |
| dc.date.accessioned | 2026-08-12T17:45:32Z | |
| dc.date.issued | 2009 | |
| dc.department | Fırat Üniversitesi | |
| dc.description.abstract | Web usage mining is to analyze web log files to discover user accessing patterns of web pages. in order to effectively manage and report on a website, it is necessary to get feedback about activity on the web servers. The aim of this study is to help the web designer and web administrator to improve the impressiveness of a website by determining occurred link connections on the website. Therefore, web log files are pre-processed and then path analysis technique is used to investigate the URL information concerning access to electronic Sources. The proposed methodology is applied to the web log files in the web server of Firat University. The results and findings of this experimental study can be used by the web designer in order to plan the upgrading and enhancement to the website. (C) 2008 Elsevier Ltd. All rights reserved. | |
| dc.description.sponsorship | Scientific Research Projects Unit of Firat University [1526] | |
| dc.description.sponsorship | This study is supported by the Scientific Research Projects Unit of Firat University (Project No.1526). The authors would like to thank the Computer Centre of the Firat University for providing the web server log files to LIS. In addition, they would like to thank Prof. Dr. Mustafa Poyraz for providing necessary opportunity of this Study. | |
| dc.identifier.doi | 10.1016/j.eswa.2008.08.067 | |
| dc.identifier.endpage | 6644 | |
| dc.identifier.issn | 0957-4174 | |
| dc.identifier.issn | 1873-6793 | |
| dc.identifier.issue | 3 | |
| dc.identifier.orcid | 0000-0003-4938-4167 | |
| dc.identifier.orcid | 0000-0002-6113-4649 | |
| dc.identifier.scopus | 2-s2.0-58349115608 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 6635 | |
| dc.identifier.uri | https://doi.org/10.1016/j.eswa.2008.08.067 | |
| dc.identifier.uri | https://hdl.handle.net/11508/60725 | |
| dc.identifier.volume | 36 | |
| dc.identifier.wos | WOS:000263817100109 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Pergamon-Elsevier Science Ltd | |
| dc.relation.ispartof | Expert Systems with Applications | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260511 | |
| dc.subject | Web mining | |
| dc.subject | Web usage mining | |
| dc.subject | Web log files | |
| dc.subject | Path analysis | |
| dc.title | Creating meaningful data from web logs for improving the impressiveness of a website by using path analysis method | |
| dc.type | Article |







