A fuzzy bi-clustering approach to correlate web users and pages

作者: Vassiliki A. Koutsonikola , Athena I. Vakali

DOI: 10.1504/IJKWI.2009.027923

关键词:

摘要: With the rapid development of information technology, significance clustering in process delivering to users is becoming more eminent. Especially web space, analysis can prove particularly beneficial for a variety applications such as personalisation and profiling, caching prefetching content delivery networks. In this paper, we propose bi-clustering approach, which identifies groups related pages. The proposed approach three-step that relies on principles spectral provides fuzzy relation scheme revealed users' pages' clusters. Experiments have been conducted both synthetic real datasets method's efficiency reveal hidden knowledge.

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