Data Analysis And Patent Big Data Analysis In Technology Management Using R Data Language

  • Dr.K.A.Jayabalaji, Dr. Ashfauk Ahamed A.K, A Sonya, Dr. R.Thilagavathy,
Keywords: R data language, patent big data, technology analysis, technology management

Abstract

Ris an extremely flexible statistics programming language and environment that is Open Source and freely available for all mainstream operating systems. R has recently experienced an “explosive growth in use and in user contributed software” (Tierney, 2005, p. 7). The “user-contributed software” is one of the most unique and beneficial aspects ofR,as a large number of users have contributed code for implementing some of the most up-to-date statistical methods, in addition to R implementing essentially all standard statistical analyses. Because of R’s Open Source structure and a community of users dedicated to making R of the highest quality, the computer code on which the methods are based is openly critiqued and improved.1

The goals of this chapter include the following: (a) convey that the time spent learning R, which in many situations is a relatively small amount, is a worthwhile investment; (b) illustrate that many commonly performed analyses are straightforward to implement; and (c) show that important methods not available elsewhere can be implemented in R (easily in many cases).In addition to these goals,we will show that an often unrealized benefit of R is that it helps to create “reproducible research,” in the sense that a record will exist of the exact analyses performed (e.g., algorithm used, options specified, subsample selected, etc.) so that the results of analyses can be recovered at a later date by the original researcher or by others if necessary (and thus “How was this result obtained?”is never an issue). Currently, R is maintained by the R Core Development Team.

To improve the technological competitiveness, most companies have tried to analyze the results efficiently. The amount of the accumulated results is extremely large, so we have difficult to analyze them. But we have to analyze the big data containing the results of developed technologies. To solve this problem, we use R data language as an approach to technology analysis (TA). TA is to analyze the developed result of target technology using qualitative and quantitative methods, such as statistics and Delphi survey.

In this paper, we study on a quantitative approach based on statistics, and analyze patent data by R data language. A patent document contains complete information of the developed technology, because patent system protects the inventor’s exclusive right for a limited time period. Therefore we propose a methodology of patent big data by R data language for technology management (TM). To illustrate how to apply our research to real filed, we perform a case study. This study contributes to R&D planning and new product development by TM through TA.

Published
2021-10-14
How to Cite
Dr. R.Thilagavathy, D. D. A. A. A. A. S. (2021). Data Analysis And Patent Big Data Analysis In Technology Management Using R Data Language. Design Engineering, 3965-3975. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5345
Section
Articles