MINING ASSOCIATION RULES FOR LARGE TRANSACTIONS USING NEW SUPPORT AND CONFIDENCE MEASURES
G. JayaLakshmi, K. Nageswara Rao · 2009
Association rule mining is to find out association rules that satisfy the predefined minimum support and confidence from a given database. End users of association rule mining tools encounter several in practice when data bases come with binary attributes. In this paper, we introduce a new measure, which does not require initially allotted weights .The quality of transactions is considered by link based models and a fast mining algorithm is adopted.