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...
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
This paper presents a preprocessing step in mining association rules which uses tables to summarize synthetically the way variables interact by highlighting any zones which are at...
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...
Data warehousing and on-line analytical processing (OLAP) are essential for decision support applications. Common OLAP operations include for example drill down, roll up, pivot an...