Automatic classification of user access patterns on the web

H. A. Ramadhan, K. Shihab, J. Ali*, H. Al-Lawati, Z. Al-Khanjri, S. Kutti

*المؤلف المقابل لهذا العمل

نتاج البحث: Paperمراجعة النظراء

ملخص

This paper presents a framework for theme-based search engines. The framework mainly deals with automatically classifying user access patterns on the Web into general topics or themes by using data mining and distance based clustering techniques. The goal is to start with Proxy log files and end with themes that would describe user models, which in turn would be regarded as goals that could be given to future search agents or theme based search engines.

اللغة الأصليةEnglish
الصفحات801-808
عدد الصفحات8
حالة النشرPublished - 2003
الحدثProceedings of the International Conference on Internet Computing, IC'03 - Las Vegas, NV, United States
المدة: يونيو ٢٣ ٢٠٠٣يونيو ٢٦ ٢٠٠٣

Other

OtherProceedings of the International Conference on Internet Computing, IC'03
الدولة/الإقليمUnited States
المدينةLas Vegas, NV
المدة٦/٢٣/٠٣٦/٢٦/٠٣

ASJC Scopus subject areas

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