In the era of digital information, the value of data resides not only in its volume and quality, but also in the additional information that can be inferred from the combination (a...
Daniele Braga, Francesco Corcoglioniti, Michael Gr...
Software applications that work with biomedical data have significant knowledge-management requirements. Formal knowledge models and knowledge-based methods can be very useful in m...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
The parametric data model captures an object in terms of a single tuple. This feature eliminates unnecessary self-join operations to combine tuples scattered in a temporal relatio...
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...