| Presentation | 2015-09-10 Predicting Customer-Supplier Relationships using Text Information Ryo Ito, Junichiro Mori, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Analytical lens of the concept of business ecosystem has clarified strategies and behaviors of actors em- bedded in business ecosystem. It helped researchers to understand dynamics of systems emerged from intended and unintended results of actors’s behaviors. This paper illustrates recent achievement of research on business ecosystem especially focusing on computational approach. It not only allows analysis of business ecosystem but also supports design of it. We demonstrate and discuss the effectiveness of machine learning approach to model customer-supplier relationships, which can be utilized to design business continuous plan and to find plausible business partners. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | supplychain / supplier selection / text mining / machine learning / svm / lsi |
| Paper # | NLC2015-24 |
| Date of Issue | 2015-09-03 (NLC) |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2015/9/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Convention Room AP Shibuya-Dogenzaka (Tokyo) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Seventh Text Mining Symposium |
| Chair | Koichi Takeuchi(Okayama Univ.) |
| Vice Chair | Hiroshi Kanayama(IBM) / Makoto Ichise(NTT DoCoMo) |
| Secretary | Hiroshi Kanayama(Univ. of Tokyo/Hottolink) / Makoto Ichise(Ryukoku Univ.) |
| Assistant | Kazutaka Shimada(Kyushu Inst. of Tech.) / Ryuichiro Higashinaka(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting Customer-Supplier Relationships using Text Information |
| Sub Title (in English) | |
| Keyword(1) | supplychain |
| Keyword(2) | supplier selection |
| Keyword(3) | text mining |
| Keyword(4) | machine learning |
| Keyword(5) | svm |
| Keyword(6) | lsi |
| 1st Author's Name | Ryo Ito |
| 1st Author's Affiliation | University of Tokyo(Tokyo Univ.) |
| 2nd Author's Name | Junichiro Mori |
| 2nd Author's Affiliation | University of Tokyo(Tokyo Univ.) |
| Date | 2015-09-10 |
| Paper # | NLC2015-24 |
| Volume (vol) | vol.115 |
| Number (no) | NLC-222 |
| Page | pp.pp.43-46(NLC), |
| #Pages | 4 |
| Date of Issue | 2015-09-03 (NLC) |