Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
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,...
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...