Mining the dominant patterns of customer shifts between segments by using top-k and distinguishing sequential rules

摘要: Purpose – The purpose of this paper is to detect different behavioral groups and the dominant patterns customer shifts between segments values over time. Design/methodology/approach A new hybrid methodology presented based on clustering techniques mining top-k distinguishing sequential rules. This implemented data 14,772 subscribers a mobile phone operator in Tehran, capital Iran. main include call detail records event that was acquired from IT department operator. Findings Seven were identified. These corresponding rules represent behavior. results also explain relation switching behavior segment instability, which an open problem. Practical implications findings can be helpful improve marketing strategies decision making for prediction purposes. T...