Secure Two-Party Association Rule Mining Based on One-Pass FP-Tree a one-pass FP-tree method to perform association rule mining without compromising any data privacy among two parties

Data mining, often referred as the major part in knowledge discovery in database (KDD) is the process of discovering knowledge for decision making in business by utilizing patterns or models existed in data. In this paper, it is proposed that a one-pass Frequent Path tree (FP-tree) method will perform association rule mining without compromising the data privacy between two parties