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decision tree techniques are good candidates to be applied to develop the model.
The main aim of this study is to highlight how to predict layoff for employees and
reduce the unemployed rates based on mining historical databases, and hopefully
provide a layoff predictive model for employees and company.
Facing the global recession, within the Hi-Tech industry such as the semiconduc-
tor one of the challenges is to understand and retain the beneficial employees for
company. The current trend of layoff cut many high compensation managers in Hi-
Tech industry. It is important phenomenon to make one deep in thought for employ-
ees. This research data only forms a single semiconductor company in the Hsinchu
Taiwan Science Park. The future research will apply this model to other industry.
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