Technology Predicting the Future using Data Mining Techniques
Junhwan Moon1, Jinhwa Kim2
1Junhwan Moon, Senior Research Engineer of Department of Business Research, Sogang University, Seoul.
2Jinhwa Kim*, Professor of Department of Management Information Systems, Sogang University, Seoul. 

Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 4204-4208 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6786018520/2020©BEIESP | DOI: 10.35940/ijrte.E6786.018520

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Abstract: The technologies of the future society can make a super connective society where everything is connected and organically interacted, and it promotes “Hyper-Connected”, “Hyper-Intelligent”, “Hyper-Real” as it is possible to become intellectual by techniques such as artificial intelligence and big data analysis. To find out the key triggers by extracting the technologies with these characteristics and identifying what factors and forms are used allows us to grasp changes in the industry due to the rapidly changing domestic environment and the influence of innovation technologies. According to the analysis, the key triggers of major technologies in information society are keywords such as security, technology, service, virtual, and finance which have a great chance to converge with other technologies. The implications of this study are as follows. First, key technologies of domestic information society were identified based on a huge amount of reliable news data. In addition, Network Analysis based on Data, which has increased the frequency of studies all over the field including computer science, sociology and business administration, is applied to predicting the future. Based on this, the methodology has been proposed that can be used to predict the pattern of technology development or notable technologies in the future. This study wasn’t conducted only on one detailed technology, but comprehensively on major technologies extracted in the era of 4th Industrial Revolution and presents Black Swan Prediction to enhance competitiveness of domestic industry in related technologies and create new added value.
Keywords: Technology Prediction, Big Data, Social Network Analysis.
Scope of the Article: Big Data Security.