IFCM-SMOTE flow.

<div><p>The sudden resignation of core employees often brings losses to companies in various aspects. Traditional employee turnover theory cannot analyze the unbalanced data of employees comprehensively, which leads the company to make wrong decisions. In the face the classification of u...

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Bibliographic Details
Main Author:	Zhaotian Li (16846072) (author)
Other Authors:	Edward Fox (203538) (author)
Published:	2023
Subjects:	Immunology Cancer Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified new synthesized samples make wrong decisions employee turnover intentions separation data synthesized generate noisy data predict whether employees achieve accurate classification svm classification results based classification algorithm enterprises based accurate performance unbalanced data generated data enterprise data data transformation xlink "> various aspects sudden resignation study introduces proposed algorithm kernel space kernel function higher accuracy helps enterprises generalization ability fuzzy c experimentally demonstrated employees comprehensively dimensional space different types
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IFCM-SMOTE flow.

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