Title Page
Contents
초록 8
Abstract 10
Ⅰ. Introduction 13
Ⅱ. Literature review 15
1. Overview of Data mining 15
2. Analysis with data mining in the several field 16
3. Concept of graph theory and social network analysis 17
4. Technology forecasting analysis 19
Ⅲ. Research Methods 23
Ⅳ. Data Collection and Transformation 25
1. Data collection 25
2. Data Transformation 30
2-1. Gathering and rearrangement 30
2-2. Transformation 31
Ⅴ. Analysis 33
1. Decision Tree analysis 33
2. Data visualization analysis 35
3. Percentage analysis 38
4. Forecast 41
Ⅵ. Conclusion 43
Ⅶ. Contribution 46
Ⅷ. Discussion 47
Reference 48
Appendix 51
Table 1. Mining methods based on data 15
Table 2. Definition of technology forecasting 19
Table 3. Forecasting method classification 22
Table 4. Trend of technology over time 26
Table 5. Relative frequency table 31
Table 6. Result from Decision Tree analysis 34
Table 7. Result from wearable device visualization analysis 36
Table 8. Visualization analysis on wearable device 37
Table 9. Result from Visualization analysis 37
Table 10. Percentage analysis of virtual reality technology 38
Table 11. Result from percentage analysis 39
Table 12. Results of all analyses 40
Table 13. Forecasting result for new products 41
Table 14. Visualization analysis result on new products 41
Figure 1. A graph with 5 points and seven edges 17
Figure 2. A star or wheel with five points 18
Figure 3. Gartner's hype cycle 21
Figure 4. Research method 23
Figure 5. Big data Trend based on search frequency over time 25
Figure 6. Cloud computing graph 27
Figure 7. Structure of collected data 28
Figure 8. The number of related searches of each technology 29
Figure 9. Most frequent words 30
Figure 10. Decision Tree diagram 33
Figure 11. Graph of positive technologies 35
Figure 12. Graph of negative technologies 35