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- W3090478992 abstract "Managing customer satisfaction has become an important business trend, including restaurants business. This study aims to determine the application of the K-means, Spectral Clustering (SC), and Agglomerative Clustering (AC) method for measuring customer satisfaction on a family restaurant in Taiwan. We contribute the data collection process and application of data mining in a family restaurant. The clustering analysis based on agglomerative clustering approach performs as well as the K-means approach to cluster the same characteristics of the customers. At last, this study shows the measurement result of customer satisfaction and provides improvement suggestion to the restaurant concerned." @default.
- W3090478992 created "2020-10-08" @default.
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- W3090478992 date "2020-08-01" @default.
- W3090478992 modified "2023-09-23" @default.
- W3090478992 title "Data Mining for Predicting Customer Satisfaction Using Clustering Techniques" @default.
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- W3090478992 doi "https://doi.org/10.1109/icimtech50083.2020.9211272" @default.
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