We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
In this poster, based on our previous work in building a lightweight DDoS (Distributed Denial-of-Services) attacks detection mechanism for web server using TCM-KNN (Transductive C...
Li Guo, Qin-Wu Nie, Tianbo Lu, Yang Li, Zhihong Ti...
This paper deals with the process of expanding the virtual secondary education school network, aiming to provide daily basis, online teaching. The context of this research is the E...