International Joint Polish-Swedish Publication Service

A Model for Classifying Internet Service Customers Based On Data Mining Algorithms

Pernel Kevinson, Lillia Pearce

Abstract

The role of customers has today been shifted from mere manufacturer to guide them; for this reason, the classification of customers for the targeting and customization of services and the prioritization of company products based on the profitability can play a very significant role in this regard. In the internet service provider (ISP) market, there are multiple competitors because the investment in Internet and communication services can be a very profitable and useful business for them. Therefore, the development of this market requires the provision of new services and creativity and innovation. In order to take control the large market share, Internet service providers need to gain an adequate understanding of the market and customers in order to retain existing customers and attract new customers. Customers' classification and clustering can not only help companies to identify and support active and profitable customers, but also outsource unconventional customers from the company's service cycle. Using the data mining algorithm, while discovering and identifying such customers, it enables Internet service providers to meet their goals faster.

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