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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
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
 Results 1 - 9 of 9  /   
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