Essays about: "Churn prediction"
Showing result 1 - 5 of 23 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. 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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3. Machine Learning-based Prediction of Customer Churn in SaaS
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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4. Comparison of Machine learningalgorithms on Predicting Churn withinMusic streaming service
University essay from Blekinge Tekniska HögskolaAbstract : Background: Customer churn prediction is one of the most popular part of bigbusinesses and often help the companies in customer retention and revenue generation.Customer churn may lead to huge loss of revenue and is important to analyzeand determine the cause for churn. READ MORE
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5. Player Activity Sequence Analysis Using Process Mining : Player churn prediction and Abnormal player sequences detection using process mining on the data from a live game
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Game analytics is a field that aims to analyze games and help in the enhancement of game development. Data mining is a prominent technique for game analytics. Recent advances in the field of process mining have motivated users to apply process mining to real-world scenarios in order to derive process-oriented insights. READ MORE