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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| DE | 2013-09-12 15:45 |
Tokyo | NII、12F Room1208, 1210 | Recipe Ingredients Recommendation using Additional Recommendation Algorithm based on Basket Analysis Tsubasa Mayumida, Mutsuo Sano (Osaka Inst. of Tech.) DE2013-34 |
We propose an algorithm of recipe ingredients recommendation using Basket analysis based on Apriori algorithm as a gener... [more] | DE2013-34 pp.7-12 |
| SS | 2010-10-15 10:15 |
Iwate | Iwate Prefectural Univ. | On Deriving Essential Factors for Estimating Successful Projects from Actual Project Data Junya Debari, Tohru Kikuno (Osaka Univ.), Nahomi Kikuchi (OKI), Masayuki Hirayama (IPA/SEC) SS2010-35 |
Actual project data are collected based on many software metrics and generally contain a large amount of missing values.... [more] | SS2010-35 pp.43-48 |
| 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 |
| DE | 2007-07-03 15:25 |
Miyagi | Akiu hot springs (Sendai) | Parallel Frequent Pattern Mining Method from Super High-Dimensional Data by Vertical Partitioning Kouichirou Mori, Ryohei Orihara (Toshiba Corp.) DE2007-91 |
In general, traditional parallel frequent pattern mining methods were applied to data that contains a large number of re... [more] | DE2007-91 pp.417-422 |
| 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 |
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| 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 |
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