Results 151 to 160 of about 22,947 (200)

Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction. [PDF]

Sci Rep
Abu-Faty HG, Kafafy A, Hadhoud MM, Abdel-Raouf O.   +3 more
europepmc   +1 more source

Brokering a new path: navigating administrative burdens in the health insurance Marketplaces. [PDF]

Health Aff Sch
Mulligan JM, Anderson DM, Drake C.
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Strategic integration of marketing and supply chain functions for superior customer experience: Insights from logistics startups under Saudi Vision 2030. [PDF]

PLoS One
Alahmari D, Awad A.
europepmc   +1 more source

Determining human resource management key indicators and their impact on organizational performance using deep reinforcement learning. [PDF]

Sci Rep
Sun Z.
europepmc   +1 more source

An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation. [PDF]

PeerJ Comput Sci
Fatima G, Khan S, Aadil F, Kim DH, Atteia G, Alabdulhafith M.   +5 more
europepmc   +1 more source

Mandatory verses voluntary self-tests for new online casino customers: effect on engagement, quality, gambling behavior and use of responsible gambling measures. [PDF]

Harm Reduct J
Jonsson J, Lakew N, Lindner P.
europepmc   +1 more source

Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare. [PDF]

Blockchain Healthc Today
Ramachandran M, Fouracre S.
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Community Pharmacy Turnover and Context of Openings and Closings by Ownership Type.

JAMA Health Forum
Mattingly TJ, Sahu M, Anderson KE.
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Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles. [PDF]

Entropy (Basel)
Tetteh ET, Zielosko B.
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Customer churn prediction in telecommunications

Expert Systems with Applications, 2012
This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service orders, complain information, etc.
Bingquan Huang, Mohand Tahar Kechadi, Brian Buckley   +2 more
openaire   +3 more sources