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  • 學位論文

壓膜機專利分析與分群

Patent Analysis and Clustering of Laminator

指導教授 : 陳凱瀛
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摘要


過去專利文件分析一向是高科技產業較為花費時間與成本的流程,根據過去文獻顯示,大部分研發人員常常花過多的時間去閱讀專利文件與分析。但以人力來進行分析,常會有判別錯誤的現象發生。有鑑於此,本論文運用已結合Normalized Term Frequency - Inverse Document Frequency (NTF-IDF)專利分群演算法之IPMAP

並列摘要


In the past decades, patent analysis has being the one of most important process in high-tech industries. According to the literatures on the subject, researchers and engineers usually spent a lot of time on understanding the patent documents. In addition, in some cases, the results of classifications may be inconsistent and error prone by manual management. For these reasons, we utilized an automatic documents classification system, IPMAP

參考文獻


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