This paper proposes a new classification method based on association rule mining. This association rule-based classifier is experimented on a real dataset; a database of medical i...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Web-based learning environments are extensively used nowadays. These environments maintain and produce vast amounts of data. Such vastness lead to the application of data mining t...
Ioannis Kazanidis, Stavros Valsamidis, Theodosios ...
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...