| Presentation | 1995/7/18 Document Browsing and Retrieval based on 3D Self-Organizing Map Qing Qian, Kenji Hatano, Katsumi Tanaka, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we will describe our 3-dimensional (3D) extention of Kohonen's self-organizing map, and our document browsing/retrieval system based on the 3D self-organizing map. The proposed mechanism makes it possible to provide facilities of a summary-information generation, a dynamic self-organization, and a concept discovery for document data. The 3D extention of the self-organizing map is useful to realize a visually-effective document interface with supporting incremental 'zoom-up' and ambiguous queries. The proposed system can accept structured documents such as HTML documents as its input, and can generate a map which focuses on their hyperlink information. The system can be easily extented to WWW environment. |
| Keyword(in Japanese) | (See Japanese page) |
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| Committee | DE |
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| Conference Date | 1995/7/18(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Document Browsing and Retrieval based on 3D Self-Organizing Map |
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| 1st Author's Name | Qing Qian |
| 1st Author's Affiliation | Division of Intelligence Science, Graduate School of Science and Technology, Kobe University() |
| 2nd Author's Name | Kenji Hatano |
| 2nd Author's Affiliation | Dept. of Computer and Systems Engineering, Graduate School of Science and Technology, Kobe University |
| 3rd Author's Name | Katsumi Tanaka |
| 3rd Author's Affiliation | Division of Intelligence Science, Graduate School of Science and Technology, Kobe University |
| Date | 1995/7/18 |
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| Volume (vol) | vol.95 |
| Number (no) | 147 |
| Page | pp.pp.- |
| #Pages | 8 |
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