首页> 外国专利> METHOD OF USING MACHINE LEARNING TO PREDICT PROBLEMATIC ACTIONS WITHIN AN ORGANIZATION

METHOD OF USING MACHINE LEARNING TO PREDICT PROBLEMATIC ACTIONS WITHIN AN ORGANIZATION

机译:利用机器学习预测组织内的问题动作的方法

摘要

A method to predict problematic actions in an organization, executed by a processing device, includes accessing stored employee-related data, such as at least one of emails, surveys, minutes, or records of conversations, identifying a subset of the employee-related data that is associated with an employee, and predicting, based on the subset of the employee-related data associated with the employee, at least one of a likelihood that the employee is engaged in an adverse relation with other employees or a likelihood that the employee is to resign from the organization within a period of time.
机译:一种由处理设备执行的预测组织中有问题的行为的方法,包括访问存储的与员工相关的数据,例如电子邮件,调查,通话记录或对话记录中的至少一个,标识与员工相关的数据的子集与该雇员相关联的信息,并基于与该雇员相关联的与雇员相关的数据的子集,预测该雇员与其他雇员发生不利关系的可能性或该雇员与在一段时间内从组织辞职。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号