TY  - JOUR
T1  - Reverse Apriori Algorithm for Frequent Pattern Mining
AU - , Kamrul Abedin Tarafder AU - , Shah Mostafa Khaled AU - , Mohammad Ashraful Islam AU - , Khandakar Rafiqual Islam AU - , Hasnain Feroze AU - , Mohammed Khalaquzzaman AU - , Abu Ahmed Ferdaus 
JO  - Asian Journal of Information Technology
VL  - 7
IS  - 12
SP  - 524
EP  - 530
PY  - 2008
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2008.524.530
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2008.524.530
KW  - Association rule mining
KW  -apriori algorithm
KW  -frequent pattern mining
KW  -data mining
KW  -critical analysis
AB  - Association rule mining, one of the most important and well-researched techniques of data mining, investigates the possibility of simultaneous occurrence of data. Given a collection of data, critical analysis can be made on the statistical frequency of data, relationship between different data items and their comparative frequency, etc. This study proposes a new algorithm Reverse Apriori  Frequent Pattern Mining, which is a new approach for frequent pattern generation of association rule mining. The proposed algorithm works efficiently, when the number of items in the large frequent itemsets is close to the number of total attributes in the dataset, or if number of items in the large frequent itemsets is predetermined.
ER  -