Web Proxy Log Data Mining System for Clustering Users and Search Keywords

dc.authorid0000-0002-9245-5728en_US
dc.contributor.authorBilgin, Turgay Tugay
dc.contributor.authorAytekin, Mustafa Koray
dc.date.accessioned2021-03-20T20:31:12Z
dc.date.available2021-03-20T20:31:12Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this study, Internet users were clustered by the search keywords which they type into search bars of search engines. Our proposed software is called UQCS (User Queries Clustering System) and it is developed to demonstrate the efficiency of our hypothesis. UQCS co-operates with the Strehl’s relationship based clustering toolkit and performs segmentation on users based on the keywords they use for searching the web. Internet Proxy server logs were parsed and query strings were extracted from the search engine URL’s and the resulting IP-Term matrix was converted into a similarity matrix using Euclidean, Jaccard, Cosine Distance and Pearson Correlation Distance metrics. K- Means and graph-based OPOSSUM algorithm were used to perform clustering on the similarity matrices. Results were illustrated by using CLUSION visualization toolkit.en_US
dc.identifier.endpage881en_US
dc.identifier.issn1305-130X
dc.identifier.issn1305-1385
dc.identifier.issue4en_US
dc.identifier.startpage873en_US
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TWpjNU5qTXlNZz09
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1660
dc.identifier.volume13en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorBilgin, Turgay Tugay
dc.language.isoenen_US
dc.relation.ispartofCelal Bayar Üniversitesi Fen Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[No Keywords]en_US
dc.titleWeb Proxy Log Data Mining System for Clustering Users and Search Keywordsen_US
dc.typeArticleen_US

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