کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
862694 1470796 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved user Navigation Pattern Prediction Technique from Web Log Data
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Improved user Navigation Pattern Prediction Technique from Web Log Data
چکیده انگلیسی

Web Usage Mining (WUM) is the automatic discovery of user access pattern from web servers. Organizations collect large volumes of data in their daily operations, generated automatically by web servers and collected in server access logs. This paper presents the Prediction of User navigation patterns using Clustering and Classification (PUCC) from web log data. In the first stage PUCC focuses on separating the potential users in web log data, and in the second t stage clustering process is used to group the potential users with similar interest and in the third stage the results of classification and clustering is used to predict the user future requests. 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

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Engineering - Volume 30, 2012, Pages 92-99