臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：應用文件探勘於專利文件之技術分析--以磁阻性隨機存取記憶體為例
書刊名：管理與系統
作者：王明妤 引用關係／許旭昇
作者(外文)：Wang, Ming-yeu／Hsu, Shiuh-sheng
出版日期：2005
卷期：12:4
頁次：頁79-98
主題關鍵詞：專利分析；國際專利分類號；文件探勘；磁阻性隨機存取記憶體；專利指標；Patent analysis；International patent classification；Text mining；Magnetic random access memory；Patent indicator
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(2) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:2
  • 共同引用共同引用:5
  • 點閱點閱:41
專利文件包含了豐富的技術資訊，公司能透過專利資訊的分析，瞭解某項技術或產品的發展現況。一項技術通常係由許多相關的技術類別所組成，過往多以該技術領域的專家根據專利分類號判斷其所包含的技術類別，然以專家進行技術的分類，不僅耗時且耗成本，且可能會有分類一致性的問題。因此要如何以快速及客觀的方法來取代或輔助人工的分類，找出一項技術所包含的技術類別，為相當重要的議題。文件探勘為近年來興起的新技術，其能從大量的文件中，挖掘隱含且有用的知識，然卻鮮少應用於專利文件上，因此本研究將嘗試以文件探勘的技術，以磁阻性隨機存取記憶體（MRAM）為例，根據相同專利分類號的專利文件，彼此在技術內容的相似度，找出MRAM所包含的技術類別，並以CHI研究公司所提出的專利指標，對MRAM的相關技術類別做進一步的分析。
Patent documents not only provide the technological information, but also reflect the technological development and trend. Companies can discover the technological development after conducting patent analysis. One technology usually comprises several technological fields, so the prior work at the time of performing a patent analysis is to confirm the technological fields of one technology. In the past, the works to identify the technological fields is often done by experts. Experts make the judgment of the comprised technological fields based on the International Patent Classification used by patent databases. However, this is a time-consuming and costly job and may cause inconsistent problems. In order to solve the problems caused by manual judgment, we introduce an emerging method, called text mining, to clarify the technological fields. The text mining method can discovery the implicit and useful knowledge from a large number of documents. Patents documents related to Magnetic Random Access Memory are selected as an example to demonstrate how to use text mining in clarifying technological fields. The technological fields are classified based on the similarity between patent documents. After classification, patent performances of each technological field is analyzed and compared according to the commonly used patent indicators proposed by CHI Research Corporation. At last we provide suggestions for future research.
期刊論文
1.Yoon, B.、Park, Y.(2004)。A Text-Mining-based Patent Network: Analytical Tool for High-technology Trend。The Journal of High Technology Management Research，15，37-50。  new window
2.Brockhoff, Klaus K.(1992)。Instruments for Patent Data Analyses in Business Firms。Technovation，12(1)，41-58。  new window
3.Ernst, Holger(2003)。Patent Information for Strategic Technology Management。World Patent Information，25(3)，233-242。  new window
4.Acs, Zoltan J.、Anselin, Luc、Varga, Attila(2002)。Patents and Innovation Counts as Measures of Regional Production of New Knowledge。Research Policy，31(7)，1069-1085。  new window
5.Salton, G.、Wong, A.、Yang, C. S.(1975)。A Vector Space Model for Automatic Indexing。Communications of the ACM，18(11)，613-620。  new window
6.孟憲鈺、黃明居、張東淼、郭光輝(20000600)。產業創新指標：專利引用分析與專利指標。科技管理學刊，5(1)，31-49。new window  延伸查詢new window
7.曾元顯(19970900)。關鍵詞自動擷取技術之探討。中國圖書館學會會訊，5(3)=106，26-29。  延伸查詢new window
8.Mogee, Mary Ellen(1991)。Using patent data for technology analysis and planning。Research-Technology Management，34(4)，43-49。  new window
9.Shannon, Claude E.(1948)。A Mathematical Theory of Communication。The Bell System Technical Journal，27(3)，379-423。  new window
10.詹前疆(2001)。微機電系統。產業調查與技術季刊，138，87-102。  延伸查詢new window
11.鄭伶如、賴奎魁、張智翔(2002)。運用專利資料探討接觸式影像感測器業技術發展趨勢之研究。科技管理學刊，7(1)，117-136。new window  延伸查詢new window
12.葉林秀、李佳謀、吳德和、徐明豐(2004)。磁阻式隨機存取記憶體技術的發展－現在與未來。物理，26(4)，607-619。  延伸查詢new window
13.Bigwood, Michael P.(1997)。Patent Trend Analysis: Incorporate Current Year Data。World Patent Information，19(4)，243-249。  new window
14.Ashton, W. B.、Sen, R. K.(1988)。Using Information in Technology Business Planning-I。Research Technology Management，31(6)，42-46。  new window
15.Baibich, M. N.、Chazelas, J.、Creuzet, G.、Friederich, A.、Nguyen, V. D. F.、Petroff, F.、Etienne, P.、Fert, A.、Broto, J. M.(1998)。Giant Magnetoresistance of (001)Fe/(001)Cr Magnetic Superlattices。Physical Rrvies Letters，61，2472-2475。  new window
16.Campbell, R. S.(1983)。Patent Trends as a Technological Forecasting Tool。World Patent Information，5(3)，137-143。  new window
17.Zhu, J. G.、Corporation, T.、Werbaneth, P.、Ditizio, R.(2004)。Cell Shape and Patterning Considerations for Magnetic Random Access. Memory (MRAM) Fabrication。Semiconductor Manufacturing，5(1)，90-96。  new window
18.Turra, R.、Pedrazzi, G.、Fattori, M.(2003)。Text Mining to Patent Mapping: A Practical Business Case。World Patent Information，25(4)，335-342。  new window
19.Willet, P.、Luckhurst, H. C.、Griffith, A.(1986)。Using Inter-document Similarity Information in Document Retrieval Systems。Journal of the American Society for Information Science，37(1)，3-11。  new window
20.Gupta, V. K.(1999)。Technological Trends in the Area of Fullerenes Using Biblometric Analysis of Patents。Sciemtometrics，44(1)，17-31。  new window
21.Imm, K. Y.、Jung, S.(2002)。The Patent Activities of Korea and Taiwan: A Comparative Case of Patent Statistic。World Patent Information，24(4)，303-311。  new window
22.Park, W.、Kim, T.、Kim, Y. K.(2004)。Technological Issues for High-density MRAM Development。Journal of Magnetism and Magnetic Materials，282，232-236。  new window
23.Omid, T.、Romano, D.、Pilkington, A.(2002)。The Electric Vehicle: Patent Data as Indicators of Technological Development。World Patent Information，24(1)，5-12。  new window
24.Salton, Buckley、Buckley, Christopher(1988)。Term Weighting Approaches in Automatic Information Retrieval。Journal of Information Proceeding & Management，24(5)，513-524。  new window
25.Ward, J. H.(1963)。Hierarchical Grouping to Optimize an Objective Function。Journal of the American Statistical Association，58(301)，236-244。  new window
26.Wei, C. P.、Hu, P. J.、Dong, Y. X.(2002)。Managing Document Categories in E-Commerce Environments: An Evolution-based Approach。Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing and Sales，11(3)，208-222。  new window
會議論文
1.Feldman, R.、Dagan, I.(1995)。Knowledge Discovery in Textual Database (KDT)。The first ACM SIGKDD International Conference on Knowledge Discovery and Data Mining，112-117。  new window
2.曾元顯(2004)。專利文字之知識探勘：技術與挑戰。臺北。111-123。  延伸查詢new window
3.Yu, P. S.、Aggrawal, C. C.(2000)。Finding Generalized Projected Clusters in High Dimensional Spaces。Dallas, TX/ New York, NY。70-81。  new window
4.Chen, Z.、Liu, T.、Liu, S.(2003)。An Evaluation on Feature Selection for Text Clustering。Washington, CA。488-495。  new window
研究報告
1.Eikvil, L.、Aas, K.(1999)。Text Categorization: A Survey。0。  new window
2.Kumar, V.、Karypis, G.、Steinbach, M.(2000)。A Comparison of Document Clustering Techniques。0。  new window
圖書
1.Salton, Gerard(1989)。Automatic Text Processing: The Transformation, Analysis, and Retrieval o f Information by Computer。Boston：Addison-Wesley。  new window
2.Jain, Anil K.、Dubes, Richard C.(1988)。Algorithms for Clustering Data。Prentice-Hall, Inc.。  new window
3.Martino, J. P.(1993)。Technological Forecasting for Decision Making。McGraw-Hill。  new window
4.劉明德、林傑斌、陳湘(2002)。資料採掘與OLAP理論與實務。臺北市：文魁資訊股份公司。  延伸查詢new window
5.Sullivan, Dan(2001)。Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales。John Wiley & Sons, Inc.。  new window
6.周文賢(2002)。多變量統計分析：SAS/STAT使用方法。智勝文化事業有限公司。  延伸查詢new window
7.Frakes, W.、Baeza-Yates, R.(1992)。Information retrieval: data structure and algorithms。Information retrieval: data structure and algorithms。沒有紀錄。  new window
8.謝銘洋、周慧芳、趙晉枚、張凱娜、葉坤財(2002)。智慧財產權入門。智慧財產權入門。臺北市。  延伸查詢new window
9.黃文儀(2002)。專利實務。專利實務。臺北市。  延伸查詢new window
圖書論文
1.Pavitt, K.(1988)。Uses and Abuses of Patent Statistics。Handbook of Quantitative Studies of Science and Technology。Elsevier Science Publishers。  new window
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：138（臺灣：124，外國：14） ／ 本年度總使用人次：3599726 ／ 訪客人次（自102年09月）：69397181
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上