Mohammad R. Gholamian

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Keywords: Customer relationship management Customer loyalty K-Means algorithm RFM model a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers. This study has proposed a new procedure, based on expanded RFM model by(More)
According to the lack of a comprehensive literature review in the area of application of data mining in customer churn management, which has become a central issue in customer relationship management nowadays, this paper tackles to provide a brief review of researches in that field from two perspectives: techniques used and statistical reports. From the(More)
Customer Segmentation is an increasingly significant issue in today’s competitive commercial area. Many literatures have reviewed the application of data mining technology in customer segmentation, and achieved sound effectives. But in the most cases, it is performed using customer data from a special point of view, rather than from systematical(More)
By the expanse of internet stores and products, recommender systems have emerged to increase store attractiveness and develop online customers. Recommender systems are systems which help customers to find product that they want. These systems recommend product to individual customer according to their preferences and interests. Recommender systems use(More)
By the expanse of internet stores and products, recommender systems have emerged to increase store attractiveness and develop online customers. Recommender systems are systems which help customers to find product that they want. These systems recommend product to individual customer according to their preferences and interests. Recommender systems use(More)
There is a great number of online product reviews on the Internet which needs to be organized. In this paper, we consider the problem of sentiment classification of online reviews to determine the overall semantic orientation of customer reviews. Our proposed method for review classification is a supervised machine learning method based on extracting(More)