A Study of Applying Data Mining Classification Techniques to Patent Analysis
| Autor: | Chun-Hsiang Lee, 李駿翔 |
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| Rok vydání: | 2003 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 91 With the government attaching importance to intellectual property right, the need of enterprise protecting the research result, and the patent begin also the most specific expression of human wisdom, patent analysis become the main subject for executive of enterprise progressively. Patent analysis is the value-added process transferring the information of patents to practical intelligence. Depending on patent analysis, enterprise can find out the self-advantage in the competition with other opponents and understand the patent claim of competitors to avoid step on the patent-landmine. According to the report of World Intellectual Property Organization (WIPO): There is 90%-95% of whole world research result can be found in the paten data, if enterprise can use the patent data in research and develop well, then it can shorten the 60% R&D time and save 40% cost. It proves the patent data is most worthy of study for the researcher in R&D department. However, the cost of patent analysis for enterprise is fairly expensive. The reason is it needs a lot of time to analysis and analyst must have a high level of domain knowledge. Besides, there are fairly few information systems about patent analysis in Taiwan, so the patent analysis depends on human resource completely. Therefore, this study uses the data mining techniques to assist in the first step in patent analysis - patent classification automatically. By using the patent data about “Genetically Modified Organisms, GMO” to experiment with various parameters, and find out the best practical type to verify the feasibility of applying data mining techniques to patent analysis. Based on the main findings of the study, some discovers are listed below: First, applying data mining to the technical classification of patents is effective. Second, by adjusting parameters in the tuning phase applying data mining can filter the outlier in patent classification. Third, it can change the configuration of various parameters to fit with the need of analysis. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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