Now showing items 1-3 of 3
Unsupervised classification of text documents
The automatic extraction of knowledge from very large document collections is becoming an important issue in order to exploit the increasing available information stored in text form. A significant aspect of this extraction ...
A computational environment for data preprocessing in supervised classification
In this thesis, a data preprocessing environment has been created, for use in a supervised classification context, with the Windows platform of the R programming language and environment for statistical computing and ...
Algorithms for non-parametric classifiers in multi-relational data mining
Over the last decades, due to the advances in information technologies, both the industrial and scientific communities have acquired large volumes of data in digital form. Most of these data sets are stored using relational ...