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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MSS, NLP (Joint) |
2018-03-14 13:25 |
Osaka | Application of Tree based Model to a Model for Data Generation and Verification of Induced Rules and its Considerations Shoya Kawaguchi, Yuichi Kato (Shimane Univ.), Tetsuro Saeki (Yamaguchi Univ.)  MSS2017-92 |
A conventional tree based method is a statistical method of constructing a classification model while recursively dividi... [more] | MSS2017-92 pp.77-82 |
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| DE, IPSJ-DBS, IPSJ-IFAT | 2015-08-05 13:00 |
Nara | Todaiji Culture Center | Empirical Study on Instance Selection from Healthcare Data Using Fuzzy Rough Sets Do Van Nguyen (KDDI R&D Labs), Keisuke Ogawa (KDDI), Kazunori Matsumoto, Masayuki Hashimoto (KDDI R&D Labs) DE2015-14 |
This research shows a study on issues that cause low performance in disease prediction such as overlap and imbalance and... [more] | DE2015-14 pp.19-24 |
| PRMU | 2011-02-18 14:30 |
Saitama | Retrieving a Large Variety of Videos from a Small Number of Example Videos based on Rough Set Theory Kimiaki Shirahama, Yuta Matsuoka, Kuniaki Uehara (Kobe Univ.) PRMU2010-228 |
This paper presents a query-by-example method which retrieves relevant shots to a query using examples provided by a use... [more] | PRMU2010-228 pp.129-134 |
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| PRMU, IE, MI | 2010-05-14 09:45 |
Aichi | Chubu Univ. | Rough Set Theory Viewed from Channel Theory Fumito Hiratsuka, Yoko Ide, Kuniaki Mukai (Keio Univ.) IE2010-30 PRMU2010-18 MI2010-18 |
In this report, we make a comparison between the Rough Set Theory and the Channel Theory.It gives correspondence to the ... [more] | IE2010-30 PRMU2010-18 MI2010-18 pp.91-96 |
| SIS | 2008-12-05 13:10 |
Osaka | Kansai Univ. | Morphological set granulation Akira Asano (Hiroshima Univ.), Mitsuji Muneyasu (Kansai Univ.) |
Set granulation is an approximation method of a set by grouping elements to an eqivalence class based on approximate ide... [more] | SIS2008-62 pp.113-117 |
| PRMU, DE | 2008-06-19 10:30 |
Hokkaido | Otaru-Shimin-Kaikan | A Comparison of Topologies in Rough Sets Theory and Formal Concept Analysis Hirofumi Miura, Tetsuya Murai, Seiki Ubukata (Hokkaido Univ.), Yasuo Kudo (Muroran IT) DE2008-6 PRMU2008-24 |
There are many mathematical methods of analyzing data in a form of table and, among them, formal concept analysis, and r... [more] | DE2008-6 PRMU2008-24 pp.31-34 |
| SIP, SIS, SP | 2007-09-28 13:50 |
Aichi | Nagoya Inst. of Tech. | Neighborhood relationship in rough set theory and morphological opening Akira Asano (Hiroshima Univ.) SIP2007-102 SIS2007-38 SP2007-64 |
Rough set theory is a framework of approximating sets. It has recently been applied to kansei engineering and other appl... [more] | SIP2007-102 SIS2007-38 SP2007-64 pp.41-44 |
| ICD | 2004-12-16 16:45 |
Hiroshima | A design of architecture and circuit of data-mining processor Akinori Kanasugi, Masao Ohkura, Mitsuhiro Matsumoto (Tokyo Denki Univ.) |
This paper describes the architecture and circuit of rough set processor. The theory of rough sets has a lot of applicat... [more] | ICD2004-192 pp.55-58 |
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| IE, CQ, LOIS, IEE-CMN | 2004-09-17 16:15 |
Hyogo | Interactive content-based image retrieval using group-based relevance feedback Gang Zhao, Aki Kobayashi, Yoshinori Sakai (T.I.T.) |
In this paper, we proposed a novel interactive image retrieval system using group-based relevance feedback, by which the... [more] | CQ2004-89 OIS2004-43 IE2004-50 pp.59-64 |
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