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Committee Date Time Place Paper Title / Authors Abstract Paper #
KBSE 2009-01-20
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
ISEC, SITE, IPSJ-CSEC 2007-07-19
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
DE 2007-07-03
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
ET 2007-01-26
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
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