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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 08 > No. 1L

 
   

A Technology Forecasting Method using Text Mining and Visual Apriori Algorithm

PP: 35-40
Author(s)
Sunghae Jun,
Abstract
Technology forecasting (TF) is the prediction of the future aspect of a technology. TF is therefore an important tool for planning an R&D policy efficiently, and thus most firms and governments consider it to be essential to their technological competitiveness. Since developing technology is usually patented, the efficient analysis of data presented in patent documents is an obvious approach to TF. In this paper, we propose a method for analyzing patent data, using a combination of text mining and the Apriori algorithm. To verify that our method yields an improved performance, we performed an experiment using patent documents concerning database technology retrieved from the United States Patent and Trademark Office.

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