| Presentation | 2022-03-28 Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data Shogo Kotani, Yuta Asanuma, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuro Motoyoshi, Keisuke Hoshikawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The purpose of this study is for preventing future traffic accidents by past ones to analyze traffic accident data based on Formal Concept Analysis. Formal Concept Analysis is a method to assist analysis and consideration by organizing the data in natural or social phenomenon as implication rules and association rules. Binary table is necessary to apply the method in traffic accident data. Therefore, we binaries data such as each detailed accident contents, accident-related data and accident-explained sentences. We consider a method to elucidate traffic accident factors by statistical analysis of extracted rules from Formal Concept Analysis. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Traffic Accidents / Formal Concept Analysis |
| Paper # | MSS2021-56,NLP2021-127 |
| Date of Issue | 2022-03-21 (MSS, NLP) |
| Conference Information | |
| Committee | MSS / NLP |
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| Conference Date | 2022/3/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Chair | Atsuo Ozaki(Osaka Inst. of Tech.) / Takuji Kosaka(Chukyo Univ.) |
| Vice Chair | Shingo Yamaguchi(Yamaguchi Univ.) / Akio Tsuneda(Kumamoto Univ.) |
| Secretary | Shingo Yamaguchi(Hokkaido Univ.) / Akio Tsuneda(NEC) |
| Assistant | Masato Shirai(Shimane Univ.) / Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data |
| Sub Title (in English) | |
| Keyword(1) | Traffic Accidents |
| Keyword(2) | Formal Concept Analysis |
| 1st Author's Name | Shogo Kotani |
| 1st Author's Affiliation | Toyama Prefectural University(Toyama Pref. Univ.) |
| 2nd Author's Name | Yuta Asanuma |
| 2nd Author's Affiliation | Toyama Prefectural University(Toyama Pref. Univ.) |
| 3rd Author's Name | Masaki Nakamura |
| 3rd Author's Affiliation | Toyama Prefectural University(Toyama Pref. Univ.) |
| 4th Author's Name | Kazutoshi Sakakibara |
| 4th Author's Affiliation | Toyama Prefectural University(Toyama Pref. Univ.) |
| 5th Author's Name | Tatsuro Motoyoshi |
| 5th Author's Affiliation | Toyama Prefectural University(Toyama Pref. Univ.) |
| 6th Author's Name | Keisuke Hoshikawa |
| 6th Author's Affiliation | Toyama Prefectural University(Toyama Pref. Univ.) |
| Date | 2022-03-28 |
| Paper # | MSS2021-56,NLP2021-127 |
| Volume (vol) | vol.121 |
| Number (no) | MSS-443,NLP-444 |
| Page | pp.pp.7-12(MSS), pp.7-12(NLP), |
| #Pages | 6 |
| Date of Issue | 2022-03-21 (MSS, NLP) |