سال انتشار: ۱۳۹۴

محل انتشار: اولین کنفرانس بین المللی وب پژوهی

تعداد صفحات: ۶

نویسنده(ها):

Roya Hassanian-esfahani – ICT Research Centre Tehran, Iran
Mohammad-javad Kargar – Department of Computer Engineering, University of Science and Culture Tehran, Iran

چکیده:

web traffic analysis is a known online marketing approach. This study analyzes the referral acquisitions of a news website by applying data mining techniques. Research results show that there is no significant relationship between the number of referral visits from a specific referrer’s website and it’s Alexa Rank. Also the referral audience fit into three clusters using K-means Squared Euclidean Distance clustering algorithm. Examining the dataset shows that our clustering method is capable of recognizing Automatic News Aggregator websites through referrer websites.