2021 6th International Conference on Management in Emerging Markets (ICMEM) 2021
DOI: 10.1109/icmem53145.2021.9869383
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Customer Segmentation and Preference Modeling of Indonesian Mobile Telecommunication Industry: A Data Mining Approach

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“…Experimental studies have demonstrated the superiority of these enhanced algorithms in effectively clustering categorical datasets [53,54]. K-modes clustering has increasingly been applied in recent research across diverse fields, playing a crucial role in analysing categorical data for tasks such as market segmentation, customer profiling, and pattern recognition [49,[55][56][57][58][59].…”
Section: Discussionmentioning
confidence: 99%
“…Experimental studies have demonstrated the superiority of these enhanced algorithms in effectively clustering categorical datasets [53,54]. K-modes clustering has increasingly been applied in recent research across diverse fields, playing a crucial role in analysing categorical data for tasks such as market segmentation, customer profiling, and pattern recognition [49,[55][56][57][58][59].…”
Section: Discussionmentioning
confidence: 99%