Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Music consists of both local and long-term temporal information. However, for a genre classification task, most of the text categorization based approaches only capture local temp...
The use of association patterns for text categorization has attracted great interest and a variety of useful methods have been developed. However, the key characteristics of patte...
The classic Generalized Sequential Patterns (GSP) algorithm returns all frequent sequences present in a database. However, usually a few ones are interesting from a user's po...