Identification of Mazandaran Telecommunication Company Fixed phone subscribers using H-Means and W-K-Means Algorithm
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 377
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شناسه ملی سند علمی:
JR_IJMEC-3-9_016
تاریخ نمایه سازی: 16 فروردین 1395
چکیده مقاله:
In recent years, companies' interaction with customers has changed significantly. Organizations require a proper understanding of customers and their needs in order to succeed in business. Customer Relationship Management (CRM) using data mining techniques, to discover hidden and valuable knowledge in data and information of organizations, provide the conditions for optimal management of customer relationships, as organizations never lose opportunity for more selling and better customer satisfaction as earning customer loyalty, as well as improve their profitability. One method of customer identification is customer clustering approach. This operation is used when we want to find groups of similar data without having a prediction on pre-existing similarities. This paper proposes a model based on H-Means and W-K-Means algorithm that customers are compared with the optimal number of clusters and clustering results are evaluated in terms of quality
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نویسندگان
Yaser Babagoli Ahangar
Islamic azad university sari branch, Iran
Homayon Motameni
University of Tehran, Science and Research branch, Iran
Ramzanali Abasnejad Varzi
Science and Technology University, Tehran, Iran