Improved Aprori Algorithm Based on bottom up approach using Probability and Matrix
Sunil Kumar, Shyam S Karanth, Akshay KC, Ananth Prabhu, Bharathraj M Kumar · 2012
Knowledge Discovery through mining association rule among data from a large database is the one of key area of research. The first proposed Algorithm apriori is used to mine frequent items from the large database which leads to mine Association Rule between the data for discovering the Knowledge from the large database. Due to the limitation and complexity of Apriori algorithm, lot of research is underway for discovering new algorithms with a motive of minimizing the time and number of database scans for Knowledge Discovery through mining Association Rule among data from a large database. This paper propose one such kind of new algorithm which takes less number of scans to mining the frequent items from the large database which leads to mine the association rule between the data.