IJCSNS International Journal of Computer Science and Network Security, VOL.18 No.6, June 2018 87 Manuscript received June 5, 2018 Manuscript revised June 20, 2018 Intelligent Enhancement of Organization Work Flow and Work Scheduling Using Machine Learning Approach Tree Algorithm Tareq Abed Mohammed †, †††† , Yaser Issam Hamodi †† , Naeem Th. Yousir ††† † Collage of Engineering, Altinbas University, Istanbul, Turkey †† Department of Computer Engineering, Ministry of Higher Education & Scientific Research Iraq, Baghdad, Iraq ††† College of Information Engineering, Al-Nahrain University, Baghdad, Iraq †††† Collage of Science, Kirkuk University, Kirkuk, Iraq Summary 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. Key word: Data Mining, Machin Learning, Intelligent System, Evolutionary Algorithm, Data Processing, Decision Tree Algorithm. 1. Introduction Data mining is the important knowledge collection or data from databases. From this existing data different relationship among the attributes can be found. Using Data mining techniques and statistics the knowledge extract to find out the important information [1]. Employee Performance is one of the most important factors for every organization to achieve their goals. In this report after selecting relevant attributes about Employees Performance random data are collected. Using Decision Tree Algorithm based on classification method one of the most used techniques in data mining will process the employee data and attributes to predict the Employees performance from their previous work. Sometimes data is extracted Disclosure of Information in Databases. We can also find existing relationships and patterns. Combines data extraction Automated learning, statistics and visualization Techniques for detection and removal information. The employee has a retention. It's an industrial show Performance Management and Registry. This project about Employees performance using Decision Tree algorithm will help the supervisor by knowing well about their Employees strength and weak points by getting this useful information one can easily assign the jobs to right person [2]. 2. Method The technique used for Employees performance is classification because this is predictive task for the system. The Decision tree algorithm based on classification method is applied for employee performance which is the most used data mine technique [5]. In this method we will collect the raw data and then transform the data in to tabular after that decision tree algorithm is applied which reduce the data and most relevant data is showed in tree [3]. This method shows the employee performance and predict task for them according to their database previous record which has a very important relation with employee performance. This method only finds the best option and will show the result using their record from which we can easily evaluate the employee from decision tree. 3. Tree Algorithm for Performance Improvement 3.1 Attributes selection Process: Attendance: This variable is about the employee timing and to know how much punctual and serious the employee is in his job Task: Previous task given to the employee and from this we variable we will predict his expertise in his specific fields. Job Experience: The job experience attribute will look at his previous jobs and skill in the last organization his performance. The extent to which the employee work with other employees.