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Natsuki Sano
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2020 – today
- 2024
- [c15]Natsuki Sano
, Katsutoshi Yada
Evaluation of sales areas in supermarket by Markov chain model. MISNC 2024: 50-54 - 2022
- [j6]Natsuki Sano:
Utility and Risk Evaluation of Synthetic Data by Orthogonal Transformation. Rev. Socionetwork Strateg. 16(1): 71-79 (2022) - 2021
- [j5]Zne-Jung Lee
Clustering and Classification Based on Distributed Automatic Feature Engineering for Customer Segmentation. Symmetry 13(9): 1557 (2021) - 2020
- [c14]Natsuki Sano:
Synthetic Data by Principal Component Analysis. ICDM (Workshops) 2020: 101-105
2010 – 2019
- 2019
- [c13]Natsuki Sano, Yuta Hattori
Utility Evaluation Measures for Categorical Data by Classification Performance. ICDM Workshops 2019: 356-361 - 2018
- [c12]Bin-Yu Peng, So-Tsung Chou, Chou-Yuan Lee, Kuo-Chung Chu
An integrated analytics model applied to power consumption. ICACI 2018: 370-373 - 2017
- [j4]Natsuki Sano, Tomomichi Suzuki:
Efficient hyper parameter selection for support vector regression using orthogonal array. Int. J. Comput. Intell. Stud. 6(1): 40-51 (2017) - [j3]Natsuki Sano, Yuki Mori, Tomomichi Suzuki:
Defect Detection Using Unanimous Vote Among Mahalanobis Classifiers for Each Color Component. Rev. Socionetwork Strateg. 11(2): 173-183 (2017) - [c11]Natsuki Sano, Fuminori Kimura:
Estimation of customer questionnaire responses from purchase transaction data using canonical correlation analysis. KES 2017: 1855-1862 - 2016
- [j2]Natsuki Sano:
Estimation of customer behaviour in sales areas in a supermarket using a hidden Markov model. Int. J. Knowl. Eng. Soft Data Paradigms 5(2): 135-145 (2016) - [c10]Natsuki Sano, Reo Tsutsui, Katsutoshi Yada, Tomomichi Suzuki:
Clustering of Customer Shopping Paths in Japanese Grocery Stores. KES 2016: 1314-1322 - [c9]Natsuki Sano, Yuki Mori, Tomomichi Suzuki:
Defect detection using two-dimensional moving range filter and unanimous vote among color component classifiers. MISNC 2016: 11 - 2015
- [j1]Natsuki Sano, Katsutoshi Yada:
The influence of sales areas and bargain sales on customer behavior in a grocery store. Neural Comput. Appl. 26(2): 355-361 (2015) - [c8]Natsuki Sano, Natsumi Machino, Katsutoshi Yada, Tomomichi Suzuki:
Recommendation System for Grocery Store Considering Data Sparsity. KES 2015: 1406-1413 - 2014
- [c7]Natsuki Sano, Katsutoshi Yada, Tomomichi Suzuki:
Category evaluation method for business intelligence using a hierarchical Bayes model. ICCI*CC 2014: 400-407 - [c6]Natsuki Sano, Syusuke Tamura, Katsutoshi Yada, Tomomichi Suzuki:
Evaluation of Price Elasticity and Brand Loyalty in Milk Products. KES 2014: 1482-1487 - [c5]Natsuki Sano, Kaori Higashinaka, Tomomichi Suzuki:
Efficient parameter selection for Support Vector Regression using orthogonal array. SMC 2014: 2256-2261 - 2013
- [c4]Natsuki Sano, Katsutoshi Yada:
Determining the share of product categories on discount flyers based on the interaction effect between bargain scale and sales area. ICCI*CC 2013: 315-319 - [c3]Natsuki Sano, Tomomichi Suzuki:
Evaluation of Discount Effects Using Poisson Regression Based on Interaction Effects between Bargain Scale and Product Category. ICDM Workshops 2013: 234-241 - 2012
- [c2]Natsuki Sano, Katsutoshi Yada:
The Inuence of Sales Areas and Bargain Sales on Customer Behavior in the Grocery Store. KES 2012: 2104-2113 - [c1]Katsutoshi Yada, Natsuki Sano:
Customer Behavior Modelling Using Radio Frequency Identification Data and the Hidden Markov Model. SRII Global Conference 2012: 509-514
Coauthor Index
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