HA53 : Applying Data Mining to Employee Churn Management in Pars Oil and Gas Company
Thesis > Central Library of Shahrood University > Industrial Engineering & Management > MSc > 2013
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Organizations invest a lot on their employees in terms of induction and training, developing, maintaining and retaining them in their organization. Therefore, managers at all costs must minimize employee’s turnover. Although, there is no standard frxamework for understanding the employees
turnover process as a whole. So employee turnover problem has engaged companies.so we tried to find rules from historical data gathered form Pars oil and gas company using rough set theory to predict the employee turnover. Using these rules helps managers to select engaged employees efficiently.
Keywords:
#Employee churn #Organizational commitment #data mining #rough set theory #Rosetta. Link
Keeping place: Central Library of Shahrood University
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Keeping place: Central Library of Shahrood University
Visitor: