Data Mining technics in projects with multinational teams


The research aims to study the impact of different knowledge of multinational project teams on the success of the projects. The ability to manage knowledge gained weight today, and especially when the volume of knowledge is large and diverse. Know how to create knowledge in teams and dispense it are very important abilities to make your company more competitive. In modern economic conditions, knowledge can be a part of a project product. If it is high-tech products, then knowledge of them is an important component. Valuable knowledge goes to the following projects, like base and work experience in the heads of employees. In such circumstances, it is advisable to use the tools of data mining. Such tools can help managers understand the data they receive after customer analysis, and then divide them (data) into different groups. Intelligent data analysis is a rather complicated process, but it helps to organize the characteristics of team members based on demographic, psychological and behavioral variables. Intelligent data analysis can describe a profile of successful and unsuccessful managers during project phases. It is important to investigate the impact of the results of the intelligence analysis on the progress of the project, especially in projects with a multinational team.



Data Mining algorithms

Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL