Academic Journal

Web user navigation pattern mining approach based on graph partitioning algorithm.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Web user navigation pattern mining approach based on graph partitioning algorithm.
Συγγραφείς: Jalali, Mehrdad, Mustapha, Norwati, Mamat, Ali, Sulaiman, Md. Nasir
Στοιχεία εκδότη: Asian Research Publishing Network (ARPN)
Έτος έκδοσης: 2008
Συλλογή: Universiti Putra Malaysia: PSAS (Perpuskataan Sultan Abuld Samad) Institutional Repository
Θεματικοί όροι: Web usage mining, Web usage mining - Computer programs, Computer algorithms
Περιγραφή: We present a study of the web based user navigation patterns mining and propose a novel approach for clustering of user navigation patterns. The approach is based on the graph partitioning for modeling user navigation patterns. In order to mining user navigation patterns, we establish an undirected graph based on connectivity between each pair of the web pages. Moreover, we propose novel formula for assigning weights to edges of the graph. The experimental results represent that the approach can improve the quality of clustering for user navigation pattern in web usage mining systems. These results can be use for predicting user's next request in the huge web sites.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISSN: 1992-8645
Relation: http://psasir.upm.edu.my/id/eprint/17631/1/Web%20user%20navigation%20pattern%20mining%20approach%20based%20on%20graph%20partitioning%20algorithm.pdf; Jalali, Mehrdad and Mustapha, Norwati and Mamat, Ali and Sulaiman, Md. Nasir (2008) Web user navigation pattern mining approach based on graph partitioning algorithm. Journal of Theoretical and Applied Information Technology, 4 (11). pp. 1125-1130. ISSN 1992-8645; E-ISSN 1817-3195
Διαθεσιμότητα: http://psasir.upm.edu.my/id/eprint/17631/
http://psasir.upm.edu.my/id/eprint/17631/1/Web%20user%20navigation%20pattern%20mining%20approach%20based%20on%20graph%20partitioning%20algorithm.pdf
http://www.jatit.org
Αριθμός Καταχώρησης: edsbas.848CA6EE
Βάση Δεδομένων: BASE