Almost all the approaches in association rule mining suggested the use of a single minimum support, technique that either rules out all infrequent itemsets or suffers from the bot...
Ioannis N. Kouris, Christos Makris, Athanasios K. ...
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
This paper presents new textural features which are based on association rules. We give a texture representation, which is an appropriate formalism, that allows straightforward app...
The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional me...
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...