- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Several formalizations of cognitive state that include intentions and beliefs based on normal modal logics (NMLs) have appeared in the recent literature. We argue that NMLs are no...
During the previous years, we presented several results concerned with various issues related to the correctness of models for business processes and services (i. e., interorganiza...
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...