The Inuence of Sales Areas and Bargain Sales on Customer Behavior in the Grocery Store. - Natsuki Sano; Katsutoshi Yada (KES, 2012)

Customer Behavior Modelling Using Radio Frequency Identification Data and the Hidden Markov Model. - Katsutoshi Yada; Natsuki Sano (SRII Global Conference, 2012)

Determining the share of product categories on discount flyers based on the interaction effect between bargain scale and sales area. - Natsuki Sano; Katsutoshi Yada (ICCI*CC, 2013)

Evaluation of Discount Effects Using Poisson Regression Based on Interaction Effects between Bargain Scale and Product Category. - Natsuki Sano; Tomomichi Suzuki (ICDM Workshops, 2013)

Category evaluation method for business intelligence using a hierarchical Bayes model. - Natsuki Sano; Katsutoshi Yada; Tomomichi Suzuki (ICCI*CC, 2014)

Evaluation of Price Elasticity and Brand Loyalty in Milk Products. - Natsuki Sano; Syusuke Tamura; Katsutoshi Yada; Tomomichi Suzuki (KES, 2014)

Efficient parameter selection for Support Vector Regression using orthogonal array. - Natsuki Sano; Kaori Higashinaka; Tomomichi Suzuki (SMC, 2014)

Recommendation System for Grocery Store Considering Data Sparsity. - Natsuki Sano; Natsumi Machino; Katsutoshi Yada; Tomomichi Suzuki (KES, 2015)

The influence of sales areas and bargain sales on customer behavior in a grocery store. - Natsuki Sano; Katsutoshi Yada (Neural Comput. Appl., 2015)

Clustering of Customer Shopping Paths in Japanese Grocery Stores. - Natsuki Sano; Reo Tsutsui; Katsutoshi Yada; Tomomichi Suzuki (KES, 2016)

Defect detection using two-dimensional moving range filter and unanimous vote among color component classifiers. - Natsuki Sano; Yuki Mori; Tomomichi Suzuki (MISNC, 2016)

Estimation of customer behaviour in sales areas in a supermarket using a hidden Markov model. - Natsuki Sano (Int. J. Knowl. Eng. Soft Data Paradigms, 2016)

Estimation of customer questionnaire responses from purchase transaction data using canonical correlation analysis. - Natsuki Sano; Fuminori Kimura (KES, 2017)

Efficient hyper parameter selection for support vector regression using orthogonal array. - Natsuki Sano; Tomomichi Suzuki (Int. J. Comput. Intell. Stud., 2017)

Defect Detection Using Unanimous Vote Among Mahalanobis Classifiers for Each Color Component. - Natsuki Sano; Yuki Mori; Tomomichi Suzuki (Rev. Socionetwork Strateg., 2017)

An integrated analytics model applied to power consumption. - Bin-Yu Peng; So-Tsung Chou; Chou-Yuan Lee; Kuo-Chung Chu; Natsuki Sano; Zne-Jung Lee (ICACI, 2018)

Utility Evaluation Measures for Categorical Data by Classification Performance. - Natsuki Sano; Yuta Hattori (ICDM Workshops, 2019)

Synthetic Data by Principal Component Analysis. - Natsuki Sano (ICDM (Workshops), 2020)

Clustering and Classification Based on Distributed Automatic Feature Engineering for Customer Segmentation. - Zne-Jung Lee; Chou-Yuan Lee; Li-Yun Chang; Natsuki Sano (Symmetry, 2021)

Utility and Risk Evaluation of Synthetic Data by Orthogonal Transformation. - Natsuki Sano (Rev. Socionetwork Strateg., 2022)

Evaluation of sales areas in supermarket by Markov chain model. - Natsuki Sano; Katsutoshi Yada; Shunsuke Okamoto; Tomomichi Suzuki (MISNC, 2024)

Perceptibility of Tactile Pictograms with Height Differences. - Natsuki Sano; Tota Mizuno; Naoaki Itakura; Kazuyuki Mito (HCI (62), 2025)