May 3, 2017 · In order to identify potential churners and re-engage them, machine learning algorithms can help to mine shared behavioral patterns of those ...
Apr 16, 2024 · In this paper we describe the architecture and a proof-of-concept implementa- tion of a system for churn prediction based on stream mining, with ...
A prototype for churn prediction using stream mining methods, which offer the additional promise of detecting new patterns of churn in real-time streams of ...
Oct 24, 2013 · Data arrive as a sequence of items, at high speed. Can't store all of it, not even in secondary memory. An item is processed and discarded.
The document describes a system for predicting customer churn using stream mining methods. Stream mining allows detecting churn patterns in real-time data ...
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The proposed application shows how to exploit Spark for implementing a customer churn prediction system (i.e., customer switch from a company to another) [56] .
It offers an efficient business model that analyzes customer churn data and gives accurate predictions of churn customers so that business management may take ...
Abstract: This study explores how machine learning techniques such as Random. Forest (RF) algorithms can be used to predict and identify factors.
Baesens, ''Building comprehensible customer churn prediction models ... Manzano-Machob, ''The architecture of a churn prediction system based on stream mining,'' ...
This study aimed to develop a churn prediction model to predict telecom client churn ... The Architecture of a Churn Prediction System Based on Stream Mining.