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A Study on Features of Significance & Prediction Model Building

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dc.contributor.author Hossain, Md. Sharafat
dc.date.accessioned 2019-10-12T11:03:29Z
dc.date.available 2019-10-12T11:03:29Z
dc.date.issued 2019-05-02
dc.identifier.uri http://hdl.handle.net/123456789/3488
dc.description.abstract Employee attrition is a significant problem for any organization. In true sense, the cost of replacing a well-trained or an employee with good performance can be really big, sometimes even more than what makes sense about money. Along with the time spent for candidate interview, selection, notice period, joining bonus etc. the loss of production hours for a significant amount of time while the new employee gets used to the system and generates output combines in a vital amount of loss for the organization. Employee turnover happening on a regular basis causes the organization to decrease in its collective knowledge base and experience gathered over time. Also, possibilities of errors and issues increases at a great rate with new workers until they gather enough knowledge on the system. en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Data mining en_US
dc.subject Media mining en_US
dc.title A Study on Features of Significance & Prediction Model Building en_US
dc.type Other en_US


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