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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MSS, NLP (Joint) |
2020-03-09 13:55 |
Aichi | (Cancelled but technical report was issued) |
Effect of Non-learned Words in Spam Mail Filtering Kazuya Nakatani, Seiya Temma, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.)  MSS2019-59 |
Machine learning mail filtering is usually performed based on words used for the learning. This study evaluates the eff... [more] |
MSS2019-59 pp.9-12 |
| MSS, NLP (Joint) |
2020-03-09 17:25 |
Aichi | (Cancelled but technical report was issued) |
Feature Analysis of Strange Words for Spam Mail Filtering Seiya Temma, Kazuya Nakatani, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2019-60 |
In this study, we discuss preparing processes of text for mail filtering, and improve the accuracy of the mail classific... [more] | MSS2019-60 pp.13-18 |
| NLP, MSS (Joint) |
2019-03-15 09:00 |
Fukui | Bunkyo Camp., Univ. of Fukui | Words co-occurrence-based mail filtering using Jaccard coefficient Seiya Temma, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ) MSS2018-92 |
The validity of mail filtering method with co-occurrence index of words has been shown experimentally. In this study, we... [more] | MSS2018-92 pp.59-64 |
| MSS, NLP (Joint) |
2018-03-13 09:15 |
Osaka | Searching attribute information for mail filtering based on text mining Seiya Temma, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2017-82 |
Many mail filters use the in function of words in the text. The purpose of this research is to develop a method of mail ... [more] | MSS2017-82 pp.27-30 |
|
| MSS, NLP (Joint) |
2018-03-13 15:20 |
Osaka | Simulation analysis of diauxic shift of E.coli using a global scale modeling method for metabolic networks Masashi Kubota, Koumei Arima, Ayaka Sugii, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2017-85 |
Metabolism is a network of intracellular reactions common to many organisms. Simulation analysis of metabolic pathways b... [more] | MSS2017-85 pp.41-46 |
|
| MSS | 2017-03-16 16:50 |
Shimane | Shimane Univ. | Finding the Candidates of Attributes in Mail Words Filtered by Bayesian Method Nozomi Fujii, Manabu Sugii, Hiroshi Matsuno (Yamacguchi Univ.) MSS2016-89 |
The interest of a research about mail-filtering system is in a method based on Bayesian theory．The existing systems for ... [more] | MSS2016-89 pp.43-48 |
| MSS, SS | 2013-03-06 14:30 |
Fukuoka | Shikanoshima | Parameter behavior of significant words selection in spam mail classification using a machine learning technique with tf-idf method Shintaro Ishizaki, Yuki Hashimura, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2012-62 SS2012-62 |
[more] | MSS2012-62 SS2012-62 pp.19-24 |
| MSS | 2012-03-08 15:15 |
Tokyo | JAIST Tokyo Satellite | Effect of the improvement on classification performance of the filtering system based on Baysian and decision tree methods Hiroyuki Yamaguchi, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.) MSS2011-76 |
Recent increase of spam mails is a serious problem in the Internet. bsfilter is one of the most well-used spam filters i... [more] | MSS2011-76 pp.23-28 |
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