Essays about: "churn prediction"
Showing result 1 - 5 of 41 essays containing the words churn prediction.
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1. Low-No code Platforms for Predictive Analytics
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. READ MORE
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2. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE
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3. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE
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4. Prediction Models for TV Case Resolution Times with Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE
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5. A Predictive Analysis of Customer Churn
University essay from KTH/Matematisk statistikAbstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE