We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
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...