A Technology Analysis Model using Dynamic Time Warping

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

[1]  Sunghae Jun,et al.  IPC Code Analysis of Patent Documents Using Association Rules and Maps - Patent Analysis of Database Technology , 2011, FGIT-DTA/BSBT.

[2]  Jiaqi Liu,et al.  A novel clustering method on time series data , 2011, Expert Syst. Appl..

[3]  Meinard Müller,et al.  Information retrieval for music and motion , 2007 .

[4]  Sunghae Jun,et al.  Technology Forecasting using Matrix Map and Patent Clustering , 2012, Ind. Manag. Data Syst..

[5]  Eamonn J. Keogh,et al.  Derivative Dynamic Time Warping , 2001, SDM.

[6]  Tugrul U. Daim,et al.  Forecasting emerging technologies: Use of bibliometrics and patent analysis , 2006 .

[7]  Yanchang Zhao.  R and Data Mining: Examples and Case Studies , 2012 .

[8]  Christopher McDermott,et al.  A framework for technology management in services , 2001, IEEE Trans. Engineering Management.

[9]  T. Warren Liao,et al.  A clustering procedure for exploratory mining of vector time series , 2007, Pattern Recognit..

[10]  Biing-Hwang Juang,et al.  Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.

[11]  Alan L. Porter,et al.  Forecasting and Management of Technology , 1991 .

[12]  Sunghae Jun,et al.  Key IPC Codes Extraction Using Classification and Regression Tree Structure , 2014 .

[13]  Joseph P. Martino,et al.  Technological Forecasting---An Overview , 1980 .

[14]  Byung-Keun Kim,et al.  Analysis on the multi‐technology capabilities of Korea and Taiwan using patent bibliometrics , 2006 .

[15]  Soung Hie Kim,et al.  A Delphi technology forecasting approach using a semi-Markov concept , 1991 .

[16]  Peter Groves,et al.  International Patent Classification (IPC) , 2011 .

[17]  R. Cyert,et al.  Technology management and the future , 1994 .

[18]  S. G. Deshmukh,et al.  Matching of technological forecasting technique to a technology , 2002 .