Data mining techniques now permit companies the ability to mine historical data in order to predict when a customer is likely to leave. These techniques typically utilize billing data, call detail data, subscription information (calling plan, features, contract expiration data) and customer information (e.g., age).
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Dec 26, 2022 · Data Mining plays a major role in segregating useful data from a heap of big data. By analyzing the patterns and peculiarities, ...
Jul 24, 2023 · Explore how telecom companies leverage vast data sets to dig up valuable patterns, optimize network performance, and unlock unmatched ...
Telecommunication companies utilize data mining to improve their marketing efforts, identify fraud, and better manage their telecommunication networks. However, ...
This chapter describes how Data Mining can be used to uncover useful information buried within these data sets. Several Data Mining applications are described ...
The main purpose of this paper is to present a literature review related to BI and data Mining in Telecommunications, from business perspective defining the ...
Nov 30, 2021 · The multidimensional analysis of such data can be used to recognize and compare the data traffic, system workload, resource management, customer ...
Oct 15, 2019 · Telecom providers can cluster prepaid customers to identify patterns in terms of money spent in recharging, sending SMS, and browsing the ...
The data generated in telecom industry is in the form of data stream as it is continuously being generated. So we need such a clustering algorithm which can ...
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Telecommunication companies utilize data mining to improve their marketing efforts, identify fraud, and better manage their telecommunication networks. However, ...
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