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http://dx.doi.org/10.5391/JKIIS.2011.21.3.341

Vacant Technology Forecasting using Ensemble Model  

Jun, Sung-Hae (청주대학교 바이오정보통계학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.3, 2011 , pp. 341-346 More about this Journal
Abstract
A vacant technology forecasting is an important issue in management of technology. The forecast of vacant technology leads to the growth of nation and company. So, we need the results of technology developments until now to predict the vacant technology. Patent is an objective thing of the results in research and development of technology. We study a predictive method for forecasting the vacant technology quantitatively using patent data in this paper. We propose an ensemble model that is to vote some clustering criteria because we can't guarantee a model is optimal. Therefore, an objective and accurate forecasting model of vacant technology is researched in our paper. This model combines statistical analysis methods with machine learning algorithms. To verify our performance evaluation objectively, we make experiments using patent documents of diverse technology fields.
Keywords
공백기술예측;특허데이터;통계적분석기법;기계학습알고리즘;앙상블모형;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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