Application of K-Nearest Neighbour Predictor for Classifying Trust of B2C Customers
K-Nearest Neighbor (K-NN) classification is one of the most fundamental classification methods and should be one of the first choices for a classification study when there is little or no prior knowledge about the distribution of the data. In addition, nearest neighbor analysis is a method for classifying cases based on their similarity to other cases. In this paper using K-NN method some factors that affect on customer trust in online transactions, were classified. Raw data gathered from customers when they were buying as customer in B2C websites.