Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …

Current search engines do not, in general, perform well with longer, more verbose queries.
One of the main issues in processing these queries is identifying the key concepts that will …

Abstract In recent years, Nonnegative Matrix Factorization (NMF) has received considerable
interest from the data mining and information retrieval fields. NMF has been successfully …

Clustering of biomedical documents has become a vital research concept due to its
importance in the clinical and telemedicine applications. The clustering of the medical …

The statistical extraction of multiwords (n-grams) from natural language corpora is
challenged by computationally heavy searching and indexing, which can be improved by …

There is an increasing interest on application of concept lattices in the different information
systems. The concept lattice may be used for representation of the concept generalisation …

In light of the popularity of digital documents in manufacturing systems and manufacturing
support systems, implementation of electronic solutions for enterprise document …

Kernel k-means is one of the most well-known kernel-based clustering methods for
discovering nonlinearly separable clusters. However, like its original counterpart k-means …

A extracção automática de Unidades Lexicais Multipalavra (ULM) a partir de corporaé
actualmente uma área de grande aplicabilidade. Porém, os avanços na aplicação das …

Automatic determination of the language in which a document is written is not yet a
completely solved problem. Generically it is solved as a classification problem and, for most …