| Presentation | 2013-01-24 Tensor Decomposition using Self-Organizing Map and Missing Data Estimation Koji HASHIMOTO, Toni IWASAKI, Tetsuo FURUKAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Tensor-Decomposition Self-Organizing Map (TD-SOM) is a nonlinear tensor decomposition method based on SOM. The aim of this research is to apply the TD-SOM to social network analysis. Since a social network data is usually de-scribed by a square matrix, the TD-SOM algonthm is modified so that it represents this the structure. The modified TD-SOM is applied to Enron E-mail dataset, and the result shows a map of the members of the company. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | self-orgnising map / SOM / tensor decomposition / tensor factorization / relational data / social network |
| Paper # | NLP2012-110,NC2012-100 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2013/1/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Tensor Decomposition using Self-Organizing Map and Missing Data Estimation |
| Sub Title (in English) | |
| Keyword(1) | self-orgnising map |
| Keyword(2) | SOM |
| Keyword(3) | tensor decomposition |
| Keyword(4) | tensor factorization |
| Keyword(5) | relational data |
| Keyword(6) | social network |
| 1st Author's Name | Koji HASHIMOTO |
| 1st Author's Affiliation | Department of Brain Science and Engmeenng, Kyushu Institute of Technology() |
| 2nd Author's Name | Toni IWASAKI |
| 2nd Author's Affiliation | Department of Brain Science and Engmeenng, Kyushu Institute of Technology |
| 3rd Author's Name | Tetsuo FURUKAWA |
| 3rd Author's Affiliation | Department of Brain Science and Engmeenng, Kyushu Institute of Technology |
| Date | 2013-01-24 |
| Paper # | NLP2012-110,NC2012-100 |
| Volume (vol) | vol.112 |
| Number (no) | 389 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |