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- W2351834319 abstract "Presents a method of clustering based on mining association rules.First,the raw data for the customer behavior in telecommunication are transformed into the between the areas.Second,since the areas are floating,as opposed to rigid,the application of the association rule technique to the flexible distances turns out to be an adequate option.The customer behavior in telecommunication is calibrated into the framework of association rules.Experiments hint us the pattern by grouping the customers into a cluster.Based on the pattern,an analysis results in a conclusion that it is a wrong decision to develop the business in South America,which is unexpected before data mining.In practice,the conclusion was applied and prevented the plan of South America,saving some one million US dollars of the strategic fund for living through the years of stagnant economy in Silicon Valley for the corporation." @default.
- W2351834319 created "2016-06-24" @default.
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- W2351834319 date "2006-01-01" @default.
- W2351834319 modified "2023-09-24" @default.
- W2351834319 title "Mining Association Rules in Customer Behavior in Telecommunication" @default.
- W2351834319 hasPublicationYear "2006" @default.
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