Since 1997, the mobile telecom industry in Taiwan has expanded rapidly to a
liberalized environment; the mobile telecom market has drastic competition.
Nowadays as the mobile telecom market is being saturated, those carrier companies
are confronted with high customer churn rate.
For reducing the customer churn rate, every telecom company try to provide many
promotional plans. But it is difficult to choose suitable plan for customers who change
their purchasing behavior quickly. Sometimes, only few customers changed, but we
have to re-cluster the whole customer data. It is costly and inefficient. In this paper,
we introduce a new cluster algorithm, called single- link incremental algorithm. It only
to adjust data objects for real change situation in intra-cluster which not to re-cluster
again for all data objects. Using this new method, single-link incremental algorithm,
not only can reduce cost, but also gain the right market segmentation information
immediately. 数据挖掘实验室
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