[book] A. T. Roper / 2011 / Forecasting and Management of Technology / John Wiley & Sons

[journal] 이소영 / 2019 / AI Chatbot Providing Real-Time Public Transportation and Route Information / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 24(7) : 9~17 / https://doi.org/10.9708/jksci.2019.24.07.009

[journal] 정주호 / 2019 / Intelligent User Pattern Recognition based on Vision, Audio and Activity for Abnormal Event Detections of Single Households / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 24(5) : 59~66 / https://doi.org/10.9708/jksci.2019.24.05.059

[journal] 최승윤 / 2018 / Controller Learning Method of Self-driving Bicycle Using State-of-the-art Deep Reinforcement Learning Algorithms / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 23(10) : 23~31 / https://doi.org/10.9708/jksci.2018.23.10.023

[journal] 최종인 / 2019 / Technology Trends for Motion Synthesis and Control of 3D Character / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 24(4) : 19~26 / https://doi.org/10.9708/jksci.2019.24.04.019

[book] S. Russell / 2014 / Artificial Intelligence: A Modern Approach, Third Edition / Pearson

[book] K. P. Murphy / 2012 / Machine Learning: a probabilistic perspective / MIT Press

[book] S. Theodoridis / 2015 / Machine Learning A Bayesian and Optimization Perspective / Elsevier

[journal] M. G. Gustafsson / 2001 / A Probabilistic Derivation of the Partial Least-Squares Algorithm / Journal of Chemical Information and Computer Sciences 41(2) : 288~294

[confproc] L. Sun / 2009 / On the Equivalence Between Canonical Correlation Analysis and Orthonormalized Partial Least Squares / Proceedings of the 21st international joint conference on Artifical intelligence : 1230~1235

[journal] M. Barker / 2003 / Partial least squares for discrimination / Journal of Chemometrics 17(3) : 166~173

[book] S. M. Ross / 2017 / Introductory Statistics, Fourth Edition / Academic Press Elsevier

[journal] J. Keller / 2014 / The influence of information and communication technology(ICT)on future foresight processes–Results from a Delphi survey / Technological Forecasting and Social Change 85 : 81~92

[journal] H. A. Linstone / 2011 / Delphi : A Brief Look Backward and Forward / Technological Forecasting and Social Change 78(9) : 1712~1719

[journal] S. Jun / 2015 / A novel method of IP R&D using patent analysis and expert survey / Queen Mary Journal of Intellectual Property 5(4) : 474~494

[journal] S. Park / 2017 / Technology Analysis of Global Smart Light Emitting Diode(LED)Development Using Patent Data / Sustainability 9(8) : 1363~

[journal] J. Kim / 2019 / Sustainable Technology Analysis Using Data Envelopment Analysis and State Space Models / Sustainability 11(13) : 3597~

[journal] J. Kim / 2019 / Patent data analysis using functional count data model / Soft Computing 23(18) : 8815~8826

[journal] S. Jun / 2018 / Bayesian Count Data Modeling for Finding Technological Sustainability / Sustainability 10(9) : 3220~

[confproc] R. Rosipal / 2005 / Overview and recent advances in partial least squares / Proceedings of International Statistical and Optimization Perspectives Workshop : 34~51

[web] USPTO / 2019 / The United States Patent and Trademark Office / http://www.uspto.gov

[web] WIPSON / 2019 / WIPS Corporation / http://www.wipson.com,http://global.wipscorp.com

[web] R Development Core Team / 2019 / R: A language and environment for statistical computing / R Foundation for Statistical Computing / http://www.R-project.org

[journal] I. Feinerer / 2008 / Text mining infrastructure in R / Journal of Statistical Software 25(5) : 1~54

[other] I. Feinerer / 2019 / Package ‘tm’ Ver. 0.7-6, Text Mining Package / CRAN of R project