Universiti Teknologi Malaysia Institutional Repository

Application of K-nearest neighbour predictor for classifying trust of B2C customers

Nilashi, Mehrbakhsh and Bagherifard, Karamollah and Ibrahim, Othman and Janahmadi, Nasim and Panjalizadeh, Bahman and Barisami, Mousa (2012) Application of K-nearest neighbour predictor for classifying trust of B2C customers. Journal Of Theoretical And Applied Information Technology, 36 (1). pp. 18-25. ISSN 1992-8645

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Abstract

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. One questionnaire was developed and data was gathered from online customers. After organizing data, k-NN method was applied and desired results were obtained. Results showed that in which positions customer can trust to B2C websites and which factors are more significant. Accordingly, in this paper k-NN enable us to predict role of factors on trust level in five levels.

Item Type:Article
Uncontrolled Keywords:Information technology
Subjects:T Technology
Divisions:Computer Science and Information System
ID Code:46619
Deposited By: Haliza Zainal
Deposited On:22 Jun 2015 05:56
Last Modified:17 Sep 2017 06:52

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