| Analyzing consumers’ shopping behavior using RFID data and pattern mining T Nakahara, K Yada Advances in Data Analysis and Classification 6, 355-365, 2012 | 41 | 2012 |
| Drug utilization of Japanese patients diagnosed with schizophrenia: an administrative database analysis S Cheung, Y Hamuro, J Mahlich, T Nakahara, R Sruamsiri, S Tsukazawa Clinical Drug Investigation 37, 559-569, 2017 | 32 | 2017 |
| The influence of shopping path length on purchase behavior in grocery store M Kholod, T Nakahara, H Azuma, K Yada Knowledge-Based and Intelligent Information and Engineering Systems: 14th …, 2010 | 32 | 2010 |
| Micro-clustering by data polishing T Uno, H Maegawa, T Nakahara, Y Hamuro, R Yoshinaka, M Tatsuta 2017 IEEE International Conference on Big Data (Big Data), 1012-1018, 2017 | 19 | 2017 |
| Micro-clustering: finding small clusters in large diversity T Uno, H Maegawa, T Nakahara, Y Hamuro, R Yoshinaka, M Tatsuta arXiv preprint arXiv:1507.03067, 2015 | 19 | 2015 |
| Extracting promising sequential patterns from RFID data using the LCM sequence T Nakahara, T Uno, K Yada Knowledge-Based and Intelligent Information and Engineering Systems: 14th …, 2010 | 18 | 2010 |
| Recommender system for music cds using a graph partitioning method T Nakahara, H Morita Knowledge-Based and Intelligent Information and Engineering Systems: 13th …, 2009 | 9 | 2009 |
| Detecting topics from Twitter posts during TV program viewing T Nakahara, Y Hamuro 2013 IEEE 13th International Conference on Data Mining Workshops, 714-719, 2013 | 8 | 2013 |
| Pattern mining for historical data analysis by using moea H Morita, T Nakahara Multiobjective Programming and Goal Programming: Theoretical Results and …, 2009 | 6 | 2009 |
| Return predictability in news: Naïve-bayes based investment model using bloomberg news H Maegawa, T Nakahara, K Okada, Y Hamuro The Japanese Society for Artificial Intelligence workshop, 2013 | 5 | 2013 |
| Evaluation of the Shopping Path to Distinguish Customers Using a RFID Dataset T Nakahara, K Yada International Journal of Organizational and Collective Intelligence (IJOCI …, 2011 | 5 | 2011 |
| Decision tree-based classifier incorporating contrast patterns H Morita, T Nakahara, Y Hamuro, S Yamamoto 2009 IEEE 13th International Symposium on Consumer Electronics, 858-860, 2009 | 5 | 2009 |
| Investigating consumers’ store-choice behavior via hierarchical variable selection T Sato, Y Takano, T Nakahara Advances in Data Analysis and Classification 13 (3), 621-639, 2019 | 4 | 2019 |
| Using mixed integer optimisation to select variables for a store choice model T Sato, Y Takano, T Nakahara International Journal of Knowledge Engineering and Soft Data Paradigms 5 (2 …, 2016 | 4 | 2016 |
| Extraction of customer potential value using unpurchased items and in-store movements T Nakahara, K Yada Knowledge-Based and Intelligent Information and Engineering Systems: 15th …, 2011 | 4 | 2011 |
| Pattern mining in POS data using a historical tree T Nakahara, H Morita Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 570-574, 2006 | 4 | 2006 |
| ハッピーキャリア SNS を利用したユーザと言葉のネットワーク分析 オペレーションズ・リサーチ 中原孝信， 大内章子， 羽室行信 Journal of Statistical Software, 2018 | 3 | 2018 |
| Prediction model using micro-clustering T Nakahara, T Uno, Y Hamuro Procedia Computer Science 35, 1488-1494, 2014 | 3 | 2014 |
| Why do we love coffee even though it is bitter? T Nakahara International Conference on Human-Computer Interaction, 450-460, 2021 | 2 | 2021 |
| Use of personal color and purchasing patterns for distinguishing fashion sensitivity T Nakahara Social Computing and Social Media. Technologies and Analytics: 10th …, 2018 | 2 | 2018 |
