This paper proposed improved K-means clustering algorithm based on user tag. It first used
social annotation data to expand the vector space model of K-means. Then, it applied the …

This research-in-progress paper presents a new approach called Link Proximity Analysis
(LPA) for identifying related web pages based on link analysis. In contrast to current …

Web page prediction plays an important role by predicting and fetching probable web page
of next request in advance, resulting in reducing the user latency. The users surf the internet …

A fundamental problem in networking and computing is community detection. Various
applications like finding web communities, uncovering the structure of social networks, or …

Nowadays, data partition plays an important role in eliminating duplicate data in green
storage and cloud storage system. Fixed-sized chunking and content based chunking are …

The paper performs an empirical study of the My Space Online Social Network (OSN). It
aims to capture the evolution of user population, to examine user activity, and finally to …

There are two important problems worth conducting research in the fields of personalized
information services based on user model. One is how to get and describe user personal …

Spam 2.0 (or Web 2.0 Spam) is referred to as spam content that is hosted on Web 2.0
applications (blogs, forums, social networks etc.). Such spam differs from traditional spam as …

Theme development evolution analysis of literature is a significant tool to help the scientific
scholars find and study the frontier problems more efficiently. This paper designs and …

The main goal of this paper is to investigate the reliability of fuzzy systems, analyzing the
sensitivity of two different models: a conventional fuzzy controller and a neuro-fuzzy …