Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...