Recognition of Interested Web Users Behavior
نویسندگان
چکیده
منابع مشابه
Classification of Web Log Data to Identify Interested Users Using Naïve Bayesian Classification
Web Usage Mining (WUM) is the process of extracting knowledge from Web user’s access data by exploiting Data Mining technologies. It can be used for different purposes such as personalization, system improvement and site modification. Study of interested web users, provides valuable information for web designer to quickly respond to their individual needs. The main objective of this paper is to...
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Diwakar Shukla Department of Mathematics and Statistics, Sagar University, Sagar M. P. 470003, India. Associate Member, DST-Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi, U.P. Email: [email protected] Sharad Gangele Department of Computer Science, M.P. Bhoj (Open) University, Kolar Road, Bhopal, M. P., India. Email: [email protected] Rah...
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-----------------------------------------------------------------ABSTRACT-----------------------------------------------------------------In present days of growing information technology, many browsers available for surfing and web mining. A user has option to use any of them at a time to mine out the desired website. Every browser has pre-defined level of popularity and reputation in the mark...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/9931-4563