과제정보
This Research was supported by Duksung Women's University Research Grants 2022 (3000007084).
참고문헌
- I. Park & B. Yoon. (2018). Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network. Journal of Informetrics, 12(4), 1199-1222. DOI : 10.1016/j.joi.2018.09.007
- MIT. (2022). 2022 10 Breakthrough Technologies. MIT Technology Review. https://www.technologyreview.com/2022/02/23/1045416/10-breakthrough-technologies-2022/
- D. E. O'Leary. (2008). Gartner's Hype Cycle and Information System Research Issues. International Journal of Accounting Information Systems 9(4), 240-252. DOI : 10.1016/j.accinf.2008.09.001
- KISTEP. (2022). A Study on the Selection of KISTEP Future Key Technologies in 2022. KISTEP. https://www.kistep.re.kr/reportDetail.es?mid=a10305020000&rpt_tp=831-006&rpt_no=RES0220220075
- D. H. Jeong & H. S. Joo. (2018). Discovering Interdisciplinary Convergence Technologies Using Content Analysis Technique Based on Topic Modeling. Journal of the Korean Society for information Management, 35, 77-100. DOI : 10.3743/KOSIM.2018.35.3.077
- J. Fenn & M. Raskino. (2009). Understanding Gartner's Hype Cycles. Gartner. https://www.gartner.com/en/documents/1069314
- O. Dedehayir & M. Steinert. (2016). The hype cycle model: A review and future directions. Technological Forecasting and Social Change, 108, 28-41. DOI : 10.1016/j.techfore.2016.04.005
- A. Caiani, A. Godin & S. Lucarelli. (2015). Innovation and Finance: A Stock Flow Consistent Analysis of Great Surges of Development. in The Evolution of Economic and Innovation Systems. Springer. DOI : 10.1007/978-3-319-13299-0_17
- L. Kanger & J. Schota. (2019). Deep transitions: Theorizing the long-term patterns of socio-technical change. Environmental Innovation and Societal Transitions, 32, 7-21. DOI : 10.1016/j.eist.2018.07.006
- C. Perez. (2003). Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages. Cheltenham, UK: Cambridge University Press. DOI : 10.1017/S002205070348193X
- E. Keogh. (2005). Exact indexing of dynamic time warping. Knowledge and Information Systems, 7(3), 358-386. DOI : 10.1007/s10115-004-0154-9
- K. Yang & C. Shahabi. (2007). An efficient k nearest neighbor search for multivariate time series. Information and Computation, 205(1), 65-98. DOI : 10.1016/j.ic.2006.08.004
- H. H. Hsu, A. C. Yang & M. D. Lu. (2011). KNN-DTW Based Missing Value Imputation for Microarray Time Series Data. Journal of Computers, 6(3), 418-425. DOI : 10.4304/jcp.6.3.418-425
- D. H. Jeong. (2019). Enhancing Classification Performance of Temporal Keyword Data by Using Moving Average-based Dynamic Time Warping Method. Journal of the Korean Society for information Management, 36(4), 83-105. DOI : 10.3743/KOSIM.2019.36.4.083
- H. Abe & S. Tsumoto. (2010). Trend detection from large text data. 2010 IEEE International Conference on Systems, Man and Cybernetics (SMC), 310-315. DOI : 10.1109/ICSMC.2010.5641682
- M. Lee, S. Kim, H. Kim & J. Lee. (2022). Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge Graph. Technological Forecasting and Social Change, 180. DOI : 10.1016/j.techfore.2022.121718
- M. N. Hwang, M. H. Cho, M. G. Hwang & D. H. Jeong. (2011). Trend Analysis of Technical Terms Using Term Life Cycle Modeling. Korea Information Processing Society, 18D(6), 493-500. DOI : 10.3745/KIPSTD.2011.18D.6.493
- B. Fung. (2014. 04. 17.). Hypothetical technology is fun. Real technology creeps us out. Washington Post. https://www.washingtonpost.com/news/the-switch/wp/2014/04/17/hypothetical-technology-is-fun-real-technology-creeps-us-out/
- S. Salvador & P. Chan. (2007). Toward accurate dynamic time warping in linear time and space. Intelligent Data Analysis, 11(5), 561-580. DOI : 10.3233/IDA-2007-11508
- A. Bagnall, J. Lines, A. Bostrom, J. Large & E. Keogh. (2017). The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Mining and Knowledge Discovery, 31(3), 606-660. DOI: 10.1007/s10618-016-0483-9