Multiple analysis with research in research projects

In this study, the application drafts created for the research projects carried out through the scientific research project management system in the Sakarya University information system and the applications of the applications made were examined and multiple analyzes were performed by clustering according to the project study areas. Before the acceptance process of the applications of previous research projects took place or even after the evaluation process, there was no healthy data record of the projects that were rejected. In 2018, all phases of project drafts and applications for research projects are recorded with the creation of projects and application phases in virtual environment. During the application of the project, information about the basic and science fields are requested when registering the keywords by the project manager. The support provided by the institution regarding the working areas of the applications and the model that determines the future investment areas are shown. With the cluster analysis and the study areas of the research projects, the K-Means, X-Means and EM (Expectation Maximization) algorithms are applied for cluster analysis from data mining techniques and the algorithms are evaluated.