Keywords can be used as attributes for mining rules or a basis measuring the similarity of new (unclassified) documents with existing (classified) ones. The focus is on problem extracting keywords from document collection in order to use them classification. Document classification hot topic machine learning. Typical approaches extract “features,” generally words, document, and feature vectors ...

Representation of a granule, relation and operation between two granules are mainly researched in granular computing. Hyperbox granular computing classification algorithms (HBGrC) are proposed based on interval analysis. Firstly, a granule is represented as the hyperbox which is the Cartesian product of $N$ intervals for classification in the $N$-dimensional space. Secondly, the relation betwee...