Header menu link for other important links
Improved apriori algorithm based on selection criterion
V Vaithiyanathan, K Rajeswari, , Swati Tonge
Published in
Association rule mining is used to uncover closely related item sets in transactions for deciding business policies. Apriori algorithm is widely adopted is association rule mining for generating closely related item sets. Traditional apriori algorithm is space and time consuming since it requires repeated scanning of whole transaction database. In this paper we propose improved apriori algorithm based on compressed transaction database. Transaction database is compressed based on the consequence of interest. © 2012 IEEE.
About the journal
Journal2012 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2012
Open AccessNo