Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
DE |
2020-06-27 10:05 |
Online |
Online |
A Recommendation Method of Health Article based on Association Rule for Health Terms Appeared on the Web Trinh Viet Thong, Takano Kosuke (KAIT) DE2020-4 |
This paper presents a recommendation method of health articles based on association rules for health terms appeared on W... [more] |
DE2020-4 pp.19-24 |
ET |
2017-11-11 16:40 |
Tokyo |
Sophia Univ. |
Analysis of Latent Needs for IT Consultation within a University using a Topic Model Yusuke Kometani, Takashi Satoh (The Univ. of Kitakyushu) ET2017-66 |
When trouble comes, we often try to implement a workaround as a temporal solution. This approach is generally useless to... [more] |
ET2017-66 pp.69-74 |
KBSE |
2016-05-26 14:05 |
Tokyo |
Doshisha Univ. Tokyo Branch Office |
A System to Help with Making Subtitles Condensed the Content of a Lecture
-- Proposing a Method to Help with Making them -- Seiichi Komiya (NII), Kazuhiro Uenosono (Aoyama GU), Rihito Yaegashi (Kagawa Univ.) KBSE2016-1 |
It is one of effective means for a beginner of Japanese language to understand the content of a lecture conducted in Jap... [more] |
KBSE2016-1 pp.1-6 |
ET |
2016-03-05 17:30 |
Kagawa |
Kawaga Univ. (Saiwai-cho Campus) |
A System to Help with Making Subtitles Condensed the Content of a Lecture:
-- Considering a Method to Help with Making them by Using Decision-Making Technique and Basket Analysis -- Seiichi Komiya (NII), Kazuhiro Uenosono (Aoyama-U), Rihito Yaegashi (Kagawa-U) ET2015-109 |
It is one of effective means for a beginner of Japanese language to understand the content of a lecture conducted in Ja... [more] |
ET2015-109 pp.87-92 |
KBSE |
2009-01-20 15:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. B3-6 |
Analysis of Causes of Faults after Release by Rule Mining on Software Metrics Tetsuya Iida, Osamu Mizuno, Tohru Kikuno (Osaka Univ.), Sachie Yoshioka, Yoshiyuki Anan, Mataharu Tanaka (OMRON Software Co.,Ltd.,) KBSE2008-50 |
We tried to investigate causes of faults after release of software. To do so, we applied the association rules mining to... [more] |
KBSE2008-50 pp.79-84 |
ISEC, SITE, IPSJ-CSEC |
2007-07-19 15:45 |
Hokkaido |
Future University-Hakodate |
Privacy-Preserving Assocaition Rules Mining Scheme Revisited Chunhua Su (Kyushu Univ.), Jianying Zhou, Feng Bao (I2R), Tsuyoshi Takagi (Future Univ. Hakodate), Kouichi Sakurai (Kyushu Univ.) ISEC2007-35 SITE2007-29 |
Assocaition Rules Mining is a frequently used technique which finds interesting associations and correlation relationshi... [more] |
ISEC2007-35 SITE2007-29 pp.133-138 |
DE |
2007-07-03 15:25 |
Miyagi |
Akiu hot springs (Sendai) |
Outlier Detection for Transaction Databases using Association Rules with High Confidences Kazuyo Narita, Hiroyuki Kitagawa (Tsukuba Univ.) DE2007-88 |
Outlier Detection, a data mining technique to detect rare events, deviant objects, and exceptions from data, has been dr... [more] |
DE2007-88 pp.399-404 |
ET |
2007-01-26 19:30 |
Tokyo |
|
A Motion Mining Method for Supporting Skill Improvement Training for Martial Arts Kazumoto Tanaka, Makoto Hasegawa, Yoshinobu Kurose, Kikuo Kobayashi (Kinki Univ.) |
Skills of BUDO (Martial Arts) are tacit knowledge, therefore it is difficult to indicate key points of the skills explic... [more] |
ET2006-105 pp.127-132 |
COMP |
2006-10-17 14:50 |
Miyagi |
Tohoku University |
A Randomness Based Analysis on the Data Size Needed for Generating Reliable Rules Kazuya Haraguchi (Kyoto Univ.), Mutsunori Yagiura (Nagoya Univ.), Endre Boros (Rutgers Univ.), Toshihide Ibaraki (Kwansei Gakuin Univ.) |
We consider a two-labeled data set $X=X_1\cup X_0$ in which each xample is a Boolean vector. A pattern is a co-occurrenc... [more] |
COMP2006-38 pp.57-64 |