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Intelligent Enhancement of Organization Work Flow and Work Scheduling Using Machine Learning Approach Tree Algorithm

机译:使用机器学习方法树算法智能增强组织工作流程和工作计划

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Decision Tree is one of the most used machine learning language used for analyzing business problems mostly applied to predict and decide the best way to the problems. Mostly it works on existing data and avoid repeating which is done in the past. Finding the best solution for a set of problem it will get the data of the user performance both with worst and best-case scenario. The purpose of this paper is to find the Employee Performance issues related to Educations, health, Government and many other organizations and give the solution to improve their performance and avoid hiring irrelevant employees using Decision Tree Algorithm. The type of information generated from datasheets and decided with the data processing method. More of the data which contains valuable information can be produced, Industry sector includes important information. The employee performance is calculated to find out. Well, the best way is using a favor Management and processing Staff database.
机译:决策树是用于分析业务问题的最常用的机器学习语言之一,主要用于预测和决定解决问题的最佳方法。通常,它适用于现有数据,避免重复过去所做的操作。为一系列问题找到最佳解决方案,它将获得最坏情况和最佳情况下用户性能的数据。本文的目的是找出与教育,卫生,政府和许多其他组织相关的员工绩效问题,并提出解决方案,以提高他们的绩效并避免使用决策树算法雇用无关的员工。从数据表生成并由数据处理方法决定的信息类型。可以产生更多包含有价值信息的数据,工业部门包含重要信息。计算员工绩效是为了找出答案。好吧,最好的方法是使用有利的管理和处理人员数据库。

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