A Technology Analysis Model using Dynamic Time Warping

Choi.Jun-Hyeog (최준혁); Sung-Hae Jun (전성해)

A Technology Analysis Model using Dynamic Time Warping

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2015, 20(2), pp.113-120
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Choi.Jun-Hyeog ¹, Sung-Hae Jun ²

¹김포대학교
²청주대학교

Accredited

ABSTRACT

Technology analysis is to analyze technological data such as patent and paper for a given technologyfield. From the results of technology analysis, we can get novel knowledge for R&D planing andmanagement. For the technology analysis, we can use diverse methods of statistics. Time series analysisis one of efficient approaches for technology analysis, because most technologies have researched anddeveloped depended on time. So many technological data are time series. Time series data are occurredthrough time. In this paper, we propose a methodology of technology forecasting using the dynamic timewarping (DTW) of time series analysis. To illustrate how to apply our methodology to real problem, weperform a case study of patent documents in target technology field. This research will contribute to R&Dplanning and technology management.

KEYWORDS

Patent big data, Time series clustering, Dynamic time warping, Management of technology

Citation status

* References for papers published after 2023 are currently being built.

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

[journal] Cyert, R. M. / 1994 / Technology Management and the Future / IEEE Transactions on Engineering Management 41(4) : 333~334

[journal] McDermott, C. M. / 2001 / A Framework for Technology Management in Services / IEEE Transactions on Engineering Management 48(3) : 333~341

[journal] Jun, S. / 2012 / Technology Forecasting using Matrix Map and Patent Clustering / Industrial Management & Data Systems 112(5) : 786~807

[journal] Martino, J. P. / 1980 / Technology forecasting–An overview / Management Science 26(1) : 28~33

[journal] Yun, Y. C. / 1991 / A Delphi technology forecasting approach using a semi-Markov concept / Technological Forecasting and Social Change 40 : 273~287

[book] Hunt, D. / 2007 / Patent Searching Tools & Techniques / Wiley

[confproc] Keogh, E. J. / 2001 / Derivative dynamic time warping / Proceedings of the 1st SIAM International Conference on Data Mining : 1~11

[confproc] J. Choi / 2014 / Time Series Clustering for Patent Big Data / Proceedings of Asia Workshop on Convergence Information Technology of KSCI : 159~162

[book] Müller, M. / 2007 / Information Retrieval for Music and Motion / Springer : 69~84

[journal] Daim, T. U. / 2006 / Forecasting emerging technologies: Use of bibliometrics and patent analysis / Technological Forecasting and Social Change 73(8) : 981~1012

[journal] Jun, S / 2011 / IPC Code Analysis of Patent Documents Using Association Rules and Maps-Patent Analysis of Database Technology / Communications in Computer and Information Science 258 : 21~30

[journal] Jung-Tae Hwang / 2006 / Analysis on the Multi-technology Capabilities of Korea and Taiwan Using Patent Bibliometrics / 기술혁신연구 / 기술경영경제학회 14(2) : 183~199

[journal] Jun, S. / 2012 / Technology Forecasting using Matrix Map and Patent Clustering / Industrial Management & Data Systems 112(5) : 786~807

[journal] Mishra, S. / 2002 / Matching of technological forecasting technique to a technology / Technological Forecasting and Social Change 69 : 1~27

[journal] Zhang, X. / 2011 / A Novel Clustering method on Time Series Data / Expert Systems with Application 38 : 11891~11900

[book] Rabiner, L. R. / 1993 / Fundamentals of Speech Recognition / Prentice Hall Signal Processing Series

[book] Zhao, Y. / 2013 / R and Data Mining – Examples and Case Studies / Academic Press

[journal] Liao, T. W. / 2007 / A Clustering Procedure for Exploratory Mining of Vector Time Series / Pattern Recognition 40 : 2550~2562

[web] WIPSON / WIPS Corporation / http://www.wipson.com

[journal] Lee, S. / 2014 / Key IPC Codes Extraction Using Classification and Regression Tree Structure / Advances in Intelligent Systems and Computing 271 : 101~109

[web] R Development Core Team / 2014 / R: A language and environment for statistical computing, R Foundation for Statistical Computing / www.r-project.org

[web] Giorgino, T. / 2014 / Package ‘dtw’ - Dynamic time warping algorithms / RCRANdtw.r-forge.r-project.org

[web] WIPO IPC / 2014 / International Patent Classification(IPC) / World Intellectual Property Organization / www.wipo.int/classifications/ipc/en

[web] WIPO / 2014 / World Intellectual Property Organization / www.wipo.org

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65