Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Modern computer systems are becoming more powerful and are using larger memories. However, except for very high end systems, little attention is being paid to high availability. T...
DeQing Chen, Alan Messer, Philippe Bernadat, Guang...
The INESC Porto group has participated in the search task (automatic and interactive). Our approach combines high-level features (the 39 concepts of the LSCOM-Lite set) with low-l...
Catalin Calistru, Cristina Ribeiro, Gabriel David,...
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Much has been written of the facilities for ontology building and reasoning offered for ontologies expressed in the Web Ontology Language (OWL). Less has been written about how th...