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A Technology Forecasting Method using Text Mining and Visual Apriori Algorithm |
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PP: 35-40 |
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Author(s) |
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Sunghae Jun,
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Abstract |
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| 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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