Results 31 to 40 of about 25,623,750 (294)
Predictive Modeling of Employee Churn Analysis for IoT-Enabled Software Industry
Applied Sciences, 2022 Employee churn analytics is the process of assessing employee turnover rate and predicting churners in a corporate company. Due to the rapid requirement of experts in the industries, an employee may switch workplaces, and the company then has to look for
Komal Naz +4 more
semanticscholar +1 more source
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry [PDF]
PeerJ Computer Science, 2022 Mobile communication has become a dominant medium of communication over the past two decades. New technologies and competitors are emerging rapidly and churn prediction has become a great concern for telecom companies.
Syed Fakhar Bilal +4 more
doaj +2 more sources
A Statistical Theory of Chord under Churn [PDF]
, 2005 Most earlier studies of DHTs under churn have either depended on simulations as the primary investigation tool, or on establishing bounds for DHTs to function.
Aurell, Erik +12 more
core +1 more source
Information, 2019 With miscellaneous information accessible in public depositories, consumer data is the knowledgebase for anticipating client preferences. For instance, subscriber details are inspected in telecommunication sector to ascertain growth, customer engagement ...
Kalyan Nagaraj +2 more
doaj +1 more source
Evaluating Churn Model in CRM: A Case Study in Telecom [PDF]
, 2013 Global competition has raised the cost of acquiring new customers, making it imperative to determine which customers are likely to churn. Although many researchers proposed many different techniques to construct good churn models, none of them focus on ...
Lin, Shun-Chieh; Tung, Chun-Ho; Jan, Nien-Yi; Chiang, Ding-An
core +1 more source
CoRR, 2020 In this paper, I present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management. However, since it has been used intensively to increase the predictability of various industry/academic fields, there is a big difference in its definition and utilization ...
openaire +2 more sources
Customer Churn Analysis and Prediction [PDF]
, 2022 One of the biggest data domain and most demanding use cases of recent time is Customer churn prediction. For a healthy and growing business churn prediction is an important indicator. This project aims to develop a churn prediction for banking sector.
Bristy, Badrun Nahar
core
F1000Research, 2021 Background: Customer churn is a term that refers to the rate at which customers leave the business. Churn could be due to various factors, including switching to a competitor, cancelling their subscription because of poor customer service, or ...
Nurulhuda Mustafa +2 more
doaj +1 more source
Autonomic management of maintenance scheduling in Chord [PDF]
, 2010 Submitted to P2P10This paper experimentally evaluates the effects of applying autonomic management to the scheduling of maintenance operations in a deployed Chord network, for various membership churn and workload patterns.
Markus Tauber +7 more
core +1 more source
Churn prediction of mobile and online casual games using play log data. [PDF]
PLoS ONE, 2017 Internet-connected devices, especially mobile devices such as smartphones, have become widely accessible in the past decade. Interaction with such devices has evolved into frequent and short-duration usage, and this phenomenon has resulted in a pervasive
Seungwook Kim +3 more
doaj +1 more source