Abstract
Nowadays, effective use of technology in the competitive world is the most important factor in business success. Since the stakeholders and especially customers are the most important factor in the profitability of organizations, the use of new methods in determining their satisfaction is of particular importance. In this paper, business intelligence for determining customer image satisfaction using image mining technology was performed. First, 400 images of customers’ faces were selected from the database. Investigating the facial expressions and the use of experts suggests that 4 states of 7 faces are sufficient to determine satisfaction. In the next step, the results of the study were extracted with using three algorithms and were analyzed in the following with three Classification Regression Tree (CRT) algorithms, Neural Network and Decision Tree. In the end between image mining algorithms the Bayesian Method and among data mining algorithms the CRT algorithm were detected with the least error for satisfaction detection.
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Rezaei Arefi, F., Saghafi, F., Rezaei, M. (2019). Business Intelligence: Determination of Customers Satisfaction with the Detection of Facial Expression. In: Latifi, S. (eds) 16th International Conference on Information Technology-New Generations (ITNG 2019). Advances in Intelligent Systems and Computing, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-030-14070-0_31
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DOI: https://doi.org/10.1007/978-3-030-14070-0_31
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