Results 21 to 30 of about 66,871 (246)

The Impact of Churn Labelling Rules on Churn Prediction in Telecommunications

open access: yesInformatica, 2022
One of the biggest difficulties in telecommunication industry is to retain the customers and prevent the churn. In this article, we overview the most recent researches related to churn detection for telecommunication companies. The selected machine learning methods are applied to the publicly available datasets, partially reproducing the results of ...
Andrej Bugajev   +3 more
openaire   +1 more source

FORECASTING CUSTOMER FUTURE BEHAVIOR IN RETAIL BUSINESS USING MACHINE LEARNING MODELS

open access: yesScientific Journal of Astana IT University, 2022
The ability to forecast customers’ future purchases, lifetime value, and churn are fundamental tasks in business management. These tasks become more complicated when the relationship between customers and business is not contractual.
Shyngys Akhmetbek
doaj   +1 more source

The Phenomenon of Policy Churn

open access: yesAdvances in Neural Information Processing Systems 35, 2022
We identify and study the phenomenon of policy churn, that is, the rapid change of the greedy policy in value-based reinforcement learning. Policy churn operates at a surprisingly rapid pace, changing the greedy action in a large fraction of states within a handful of learning updates (in a typical deep RL set-up such as DQN on Atari).
Tom Schaul   +3 more
openaire   +3 more sources

Bankrupting Sybil Despite Churn [PDF]

open access: yes2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS), 2021
A Sybil attack occurs when an adversary controls multiple identifiers (IDs) in a system. Limiting the number of Sybil (bad) IDs to a minority is critical to the use of well-established tools for tolerating malicious behavior, such as Byzantine agreement and secure multiparty computation.
Diksha Gupta, Jared Saia, Maxwell Young
openaire   +3 more sources

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

open access: yesSN Applied Sciences, 2021
Customer churn has been considered as one of the key issues in the operations of the corporate business sector, as it influences the turnover directly.
C. K. Praseeda, B. L. Shivakumar
doaj   +1 more source

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

open access: yesEAI Endorsed Transactions on Mobile Communications and Applications, 2022
INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers.
Sulaiman Olaniyi Abdulsalam   +3 more
doaj   +1 more source

The Role of Peer Influence in Churn in Wireless Networks

open access: yes, 2014
Subscriber churn remains a top challenge for wireless carriers. These carriers need to understand the determinants of churn to confidently apply effective retention strategies to ensure their profitability and growth. In this paper, we look at the effect
Ferreira, Pedro, Han, Qiwei
core   +1 more source

Homelessness and Medicaid Churn

open access: yesEthnicity & Disease, 2021
Objectives: To identify ICD-10-CM di­agnostic codes associated with the social de­terminants of health (SDOH), determine fre­quency of use of the code for homelessness across time, and examine the frequency of interrupted periods of Medicaid eligibility (ie, Medicaid churn) for beneficiaries with and without this code.Design: Retrospective data ...
Isaac, Dapkins, Saul B, Blecker
openaire   +3 more sources

Subscriber churn in the Australian ISP market [PDF]

open access: yes, 1913
Rapid growth in Internet use, combined with easy market entry by Internet service providers (ISPs), has resulted in a highly competitive supply of Internet services.
Madden, Gary G   +2 more
core   +1 more source

Customer-Centric Decision-Making with XAI and Counterfactual Explanations for Churn Mitigation

open access: yesJournal of Theoretical and Applied Electronic Commerce Research
In this paper, we propose a methodology designed to deliver actionable insights that help businesses retain customers. While Machine Learning (ML) techniques predict whether a customer is likely to churn, this alone is not enough.
Simona-Vasilica Oprea, Adela Bâra
doaj   +1 more source

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