| Presentation | 2006-06-15 Integration of data engineering and pattern understanding : How shall we handle patterns in massive data? Ichiro IDE, Naoko NITTA, Motoyuki OZEKI, Yuichi NAKAMURA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Structuring, retrieval, summarization, and editing of massive chronological data, such as video streams, web pages, and blogs, have been active research topics in the pattern recognition field. On the other hand, in the data engineering field, structuring and pattern discovery targeting massive chronological data are the current hot topics. In order to support the development of an integrated research field of these two fields such as retrieval and content editing based on the data structuring and pattern discovery, it is important to establish a clear consensus between both fields on the definitions of common issues, that is, "What is a 'pattern' from the data engineering perspective?" and "What is expected for 'retrieval' from the pattern recognition perspective?". In this panel, cutting-edge researchers in both fields will discuss issues on the methodologies to extract patterns such as relations and regularities in data, to collect, archive, and visualize 'massive' and 'chronological' data, which are necessary to realize their structuring, retrieval, summarization, and editing. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Massive data / chronological data / patterns / retrieval |
| Paper # | DE2006-10,PRMU2006-48 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2006/6/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Integration of data engineering and pattern understanding : How shall we handle patterns in massive data? |
| Sub Title (in English) | |
| Keyword(1) | Massive data |
| Keyword(2) | chronological data |
| Keyword(3) | patterns |
| Keyword(4) | retrieval |
| 1st Author's Name | Ichiro IDE |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University:National Institute of Informatics() |
| 2nd Author's Name | Naoko NITTA |
| 2nd Author's Affiliation | Graduate School of Engineering, Osaka University |
| 3rd Author's Name | Motoyuki OZEKI |
| 3rd Author's Affiliation | Academic Center for Computing and Media Studies, Kyoto University |
| 4th Author's Name | Yuichi NAKAMURA |
| 4th Author's Affiliation | Academic Center for Computing and Media Studies, Kyoto University |
| Date | 2006-06-15 |
| Paper # | DE2006-10,PRMU2006-48 |
| Volume (vol) | vol.106 |
| Number (no) | 97 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |