Study on big data based decision making support system for development of software education model

Abstract

The purpose of this paper is to study a big data-based decision making support system for Korean software education to analyze the performance of software education that has been carried out and to derive efficient software education model focusing on opinion mining visualization analysis technique based on big data collection data such as portal site news, SNS service, Internet cafe, other performance data related to software education collected from online media over the last 5 years.