One scan is enough: Optimising association rules mining

Saraee, MH; Al-Mejrab, M

Abstract

Data mining is as a new area of research has taken its place as one of the most important techniques in the decision making process. Mining association rules is one of simple yet powerful technique in the data mining process The problem of mining association rules is composed of finding the large itemsets and to generate the association rules from these itemsets. Usually the dataset must be scanned many times in order to find the large itemsets. Many algorithms have been developed to increase the performance of mining association rules through reducing the number of scans over the dataset. This work aims to enhance and optimise the process even further by developing techniques to reduce the number of database scans to just only one.
Keywords: Data mining, Association

Citation

Saraee, M., & Al-Mejrab, M. (2004, June). One scan is enough: Optimising association rules mining. Presented at The 2004 International Conference on Information and Knowledge Engineering, June 21-24, 2004, Las Vegas, USA

• Presentation Conference Type: Other
• Conference Name: The 2004 International Conference on Information and Knowledge Engineering, June 21-24, 2004
• Conference Location: Las Vegas, USA
• Start Date: Jun 21, 2004
• End Date: Jun 24, 2004
• Publication Date: Jan 1, 2004
• Deposit Date: Nov 3, 2011
• Publicly Available Date: Apr 5, 2016
• Keywords: dblp
• Publisher URL: http://dblp.uni-trier.de/db/conf/ike/ike2004.html#SaraeeA04
• Additional Information: Event Type : Conference