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Employee demission behavior prediction method based on survival analysis

A technology of survival analysis and prediction method, applied in the direction of prediction, data processing application, instrument, etc., can solve the problems of low persuasion, performance comparison, etc., and achieve the effect of good classification effect

Inactive Publication Date: 2019-08-23
CHONGQING UNIV
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Problems solved by technology

When only survival analysis is used for event-centric forecasting methods, the convincing power of the results is low because the performance cannot be compared with mature machine learning methods

Method used

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  • Employee demission behavior prediction method based on survival analysis
  • Employee demission behavior prediction method based on survival analysis
  • Employee demission behavior prediction method based on survival analysis

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Embodiment Construction

[0048] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0049] In the current research, we focus on the issue of whether an employee will leave the job. The easily conceivable form of the question is to predict whether the current job will choose to leave the job based on the person's past work experience. But in practice, this definition of the problem may be "biased". The fact that employees have resigned in their previous jobs does not necessarily mean that they are more likely to resign in future jobs. This should also be related to the specific job content. And at different times, the turnover probability should also be different. Then a specific person, a specific current job, and a specific forecast time, the combi...

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Abstract

The invention discloses an employee demission behavior prediction method based on survival analysis. The method comprises the following steps: step 1, performing demission behavior feature extractionon an employee to be predicted; step 2, performing prediction through a prediction algorithm to obtain important features; and step 3, analyzing the important features to obtain a conclusion. According to the life analysis-based demission prediction method, the probability statistics technology of survival analysis and the integrated learning of the random forest are fused; the survival rate obtained by statistics of events and time is utilized, and the problems are classified into the traditional supervised binary classification problems, so that the problems can be compared with a large number of mature machine learning algorithms, and the final classification effect is better than that of the existing demission prediction algorithm.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and data mining. In particular, it relates to a prediction method of employee turnover behavior based on survival analysis. Background technique [0002] In human resource management, employee turnover prediction is very important to the company's operations, because the departure of key employees will bring huge losses to the company. Resignation can be divided into voluntary resignation and passive resignation. Passive resignation includes company layoffs and other behaviors, which are difficult to predict, so it is necessary to focus on predicting employees' voluntary resignation behavior. The data sets used in existing research can be divided into two categories. Some studies use the employee data provided by the internal human resources department of the enterprise. The public is the simulated employee data set of IBM Watson Analytics, which is characterized by the work content inform...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q10/10G06K9/62
CPCG06Q10/04G06Q10/0635G06Q10/1053G06F18/24323
Inventor 尚家兴朱倩雯蔡昕均江林丽刘飞逸
Owner CHONGQING UNIV
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