Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Clustering and retrieval of web pages dominantly relies on analyzing either the content of individual web pages or the link structure between them. Some literature also suggests t...
In this paper, we propose a serving system consisting intelligent agents processing society information in a multi-user domain. The agents use the similarity information on the us...
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...