We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Performance analysis of high performance systems is a difficult task. Current tools have proven successful in analysis tasks but their implementation is limited in several respects...
The Apriori algorithm is a fundamental correlation-based data mining kernel used in a variety of fields. The innovation in this paper is a highly parallel custom architecture impl...
Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...
Izabela Brzezinska, Salvatore Greco, Roman Slowins...