| A deep learning approach for the prediction of retail store sales Y Kaneko, K Yada 2016 IEEE 16th International conference on data mining workshops (ICDMW …, 2016 | 94 | 2016 |
| String analysis technique for shopping path in a supermarket K Yada Journal of Intelligent Information Systems 36, 385-402, 2011 | 85 | 2011 |
| Mining pharmacy data helps to make profits Y Hamuro, N Katoh, Y Matsuda, K Yada Data Mining and Knowledge Discovery 2, 391-398, 1998 | 71 | 1998 |
| 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 |
| Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability K Yada, E Ip, N Katoh Decision Support Systems 44 (1), 223-234, 2007 | 37 | 2007 |
| Consumer behavior analysis by graph mining technique K Yada, H Motoda, T Washio, A Miyawaki New Mathematics and Natural Computation 2 (01), 59-68, 2006 | 37 | 2006 |
| Consumer behavior analysis by graph mining technique K Yada, H Motoda, T Washio, A Miyawaki Knowledge-Based Intelligent Information and Engineering Systems: 8th …, 2004 | 34 | 2004 |
| 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 |
| A machine learning algorithm for analyzing string patterns helps to discover simple and interpretable business rules from purchase history Y Hamuro, H Kawata, N Katoh, K Yada Progress in Discovery Science: Final Report of the Japanese Dicsovery …, 2002 | 32 | 2002 |
| A framework for analysis of the effect of time on shopping behavior K Takai, K Yada Journal of Intelligent Information Systems 41, 91-107, 2013 | 31 | 2013 |
| Relation between stay-time and purchase probability based on RFID data in a Japanese supermarket K Takai, K Yada International Conference on Knowledge-Based and Intelligent Information and …, 2010 | 31 | 2010 |
| Consumer purchasing behavior extraction using statistical learning theory Y Zuo, ABMS Ali, K Yada Procedia Computer Science 35, 1464-1473, 2014 | 30 | 2014 |
| Data mining for design and marketing Y Ohsawa, K Yada Chapman and Hall/CRC, 2009 | 27 | 2009 |
| Prediction of consumer purchasing in a grocery store using machine learning techniques Y Zuo, K Yada, ABMS Ali 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering …, 2016 | 26 | 2016 |
| Recommendation system for grocery store considering data sparsity N Sano, N Machino, K Yada, T Suzuki Procedia Computer Science 60, 1406-1413, 2015 | 25 | 2015 |
| Modeling bank runs in financial crises K Yada, T Washio, Y Ukai, H Nagaoka The Review of Socionetwork Strategies 3, 19-31, 2009 | 23 | 2009 |
| Approximation of optimal two-dimensional association rules for categorical attributes using semidefinite programming K Fujisawa, Y Hamuro, N Katoh, T Tokuyama, K Yada International Conference on Discovery Science, 148-159, 1999 | 23 | 1999 |
| Duration of price promotion and product profit: An in-depth study based on point-of-sale data Z Li, K Yada, Y Zennyo Journal of Retailing and Consumer Services 58, 102277, 2021 | 22 | 2021 |
| Model selection for financial statement analysis: Variable selection with data mining technique K Ishibashi, T Iwasaki, S Otomasa, K Yada Procedia Computer Science 96, 1681-1690, 2016 | 22 | 2016 |
| Clockwise and anti-clockwise directions of customer orientation in a supermarket: Evidence from RFID data M Kholod, K Takai, K Yada Knowledge-Based and Intelligent Information and Engineering Systems: 15th …, 2011 | 21 | 2011 |
Takanobu NakaharaSenshu UniversityVerified email at isc.senshu-u.ac.jp
