Investigating the Factors of Implementation of Knowledge Management in Education Department Using Data Mining Techniques (Case Study: Dorood Education Department)

Abstract

Objective: The aim of the present study was to investigate the factors of knowledge management establishment in Doroud city education and training using data mining techniques. Methodology: The statistical population included all administrative staff of education and training management of Dorud city, whose number was 155 people. The reliability coefficient of the questionnaire used through Cronbach's alpha of 0.90; and by the method of halving 0.69 It was found to be approved in both ways. Data analysis methods and Weka, Rosseta and Excel software were used to analyze the data. Results: Prediction accuracy was obtained using 0.73535 Rough set, 0.92525 decision tree, 0.985 base theory, 0.983535 artificial neural networks. The rules were provided by the genetic algorithm, Johnson, Holtz, and the decision tree. Under these laws, knowledge transfer, retaining knowledgeable employees, and managers 'use of employees' opinions and suggestions play a significant role in establishing knowledge management in education. Innovation: This research is innovative because it uses data mining techniques to analyze the data. In the present study, the subject matter has been studied without focusing on a specific factor and considering a hypothesis. . Conclusion: Preserving knowledgeable employees prevents the experiences, skills and knowledge of these people from leaving the organization, and the use of knowledge and opinions of these people and other employees causes the emergence of knowledge in the organization, which in turn leads to knowledge transfer. In the organization.

Keywords

• data mining
• information technology
• knowledge management
• knowledge system
• organizational culture