Applying Data Mining Techniques on Patent Document Retrieval
| Autor: | I-Yu cheng, 程易裕 |
|---|---|
| Rok vydání: | 2015 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 103 In the era of the knowledge economy, the development of patents is the critical tool for increasing competitiveness of enterprises. It has been an important Issue to get inspiration for R&D by retrieving patent documents. Due to the explosion growth of patent documents, it is difficult to get the really relevant documents from a large volume of documents stored in patent document retrieval system. Many researches focus on document content analyzing in order to improve the quality of search results. However, few studies use data mining techniques on retrieval of patent documents. In our study, frequent itemsets analysis is used for query expansion in order to find more patent documents that are uses' desired for, and patent document clustering is used to provide more information about the relationship among patent documents. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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