Our study addresses the problem of large-scale contradiction detection and management, from data extracted from the Web. We describe the first systematic solution to the problem,...
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...
The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...