The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland region

DOI10.1007/s10100-022-00805-5WikidataQ114691826 ScholiaQ114691826MaRDI QIDQ6100683

Magdalena Graczyk-Kucharska, Gerhard-Wilhelm Weber, Robert Olszewski

Publication date: 22 June 2023

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

zbMATH Keywords

modelinghuman resourcesmultivariate adaptive regression splinesspatial data miningartificial neutral networksgeolocalization

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Related Items (1)

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Cites Work

• CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization
• Multivariate adaptive regression splines
• Preface: Operations research in neuroscience
• Voxel-MARS: a method for early detection of Alzheimer's disease by classification of structural brain MRI
• Preface: Operations research in neuroscience. II
• RMARS: robustification of multivariate adaptive regression spline under polyhedral uncertainty
• The new robust conic GPLM method with an application to finance: prediction of credit default
• Intelligent Computing and Optimization

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