| Presentation | 2015-08-05 Empirical Study on Instance Selection from Healthcare Data Using Fuzzy Rough Sets Do Van Nguyen, Keisuke Ogawa, Kazunori Matsumoto, Masayuki Hashimoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This research shows a study on issues that cause low performance in disease prediction such as overlap and imbalance and suggests solutions based on fuzzy rough sets to overcome these problems. We apply several methods based on rough set theory to deal with overlap by selecting valuable instances. The considerable results in combination of rough instance selection and balancing technique are then noticed. In this study, we also apply new proposed approach that uses only fuzzy-rough instance selection to dealing with the both issues. This means that without balancing techniques, performance still improves. Some experiments are conducted to show the methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | rough set theory / fuzzy-rough sets / healthcare data / classification performance / instance selection |
| Paper # | DE2015-14 |
| Date of Issue | 2015-07-29 (DE) |
| Conference Information | |
| Committee | DE / IPSJ-DBS / IPSJ-IFAT |
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| Conference Date | 2015/8/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Todaiji Culture Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Management, Information Retrieval, Knowledge Discovery, etc. |
| Chair | Masato Oguchi(Ochanomizu Univ.) |
| Vice Chair | Makoto Onizuka(Osaka Univ.) / Masashi Toyoda(Univ. of Tokyo) |
| Secretary | Makoto Onizuka(Univ. of Electro-Comm.) / Masashi Toyoda(Kyushu Univ.) |
| Assistant | Mayuki Ueda(Univ. of Marketing and Distrbution Science) / Daisuke Kitayama(Kogakuin Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Data Engineering / Special Interest Group on Database System / Special Interest Group on Information Fundamentals and Access Technologies |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Empirical Study on Instance Selection from Healthcare Data Using Fuzzy Rough Sets |
| Sub Title (in English) | |
| Keyword(1) | rough set theory |
| Keyword(2) | fuzzy-rough sets |
| Keyword(3) | healthcare data |
| Keyword(4) | classification performance |
| Keyword(5) | instance selection |
| 1st Author's Name | Do Van Nguyen |
| 1st Author's Affiliation | KDDI R&D Laboratories Inc.(KDDI R&D Labs) |
| 2nd Author's Name | Keisuke Ogawa |
| 2nd Author's Affiliation | KDDI Corporation(KDDI) |
| 3rd Author's Name | Kazunori Matsumoto |
| 3rd Author's Affiliation | KDDI R&D Laboratories Inc.(KDDI R&D Labs) |
| 4th Author's Name | Masayuki Hashimoto |
| 4th Author's Affiliation | KDDI R&D Laboratories Inc.(KDDI R&D Labs) |
| Date | 2015-08-05 |
| Paper # | DE2015-14 |
| Volume (vol) | vol.115 |
| Number (no) | DE-177 |
| Page | pp.pp.19-24(DE), |
| #Pages | 6 |
| Date of Issue | 2015-07-29 (DE) |