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New Frontiers in Artificial Intelligence: JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15-17, 2020, Revised Selected Papers

1st ed. 2021., 2021

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New Frontiers in Artificial Intelligence: JSAI-IsAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ, Yokohama, Japan, November 13-15, 2021, Revised Selected Papers

1, 2023

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Selected Papers from the 35th JSAI Annual Meeting

New generation computing, 2022-04, Vol.40 (1), p.5-6

2022

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Duration of price promotion and product profit: An in-depth study based on point-of-sale data

Journal of retailing and consumer services, 2021-01, Vol.58, p.102277, Article 102277

2021

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Analysis of social influence on in-store purchase behavior by using ecological system of ants

Procedia computer science, 2019, Vol.159, p.2162-2171

2019

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The impact of self-control on search behavior

Procedia computer science, 2019, Vol.159, p.2137-2143

2019

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Advances in Artificial Intelligence: Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019)

1st Edition 2022, 2020

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New Frontiers in Artificial Intelligence: JSAI-IsAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12-17, 2022, Revised Selected Papers

1, 2023

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Fractal Dimension of Shopping Path: Influence on Purchase Behavior in a Supermarket

Procedia computer science, 2016, Vol.96, p.1764-1771

2016

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Relation between Stay-Time and Purchase Probability Based on RFID Data in a Japanese Supermarket

Knowledge-Based and Intelligent Information and Engineering Systems, p.254-263

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The influence of sales areas and bargain sales on customer behavior in a grocery store

Neural computing & applications, 2015-02, Vol.26 (2), p.355-361

2015

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The Influence of Customer Movement between Sales Areas on Sales Amount: A Dynamic Bayesian Model of the In-store Customer Movement and Sales Relationship

Procedia computer science, 2017, Vol.112, p.1845-1854

2017

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Analyzing consumers’ shopping behavior using RFID data and pattern mining

Advances in data analysis and classification, 2012-12, Vol.6 (4), p.355-365

2012

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The Short-Term Impact of an Item-Based Loyalty Program

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, p.1846-1851

2018

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IEEE_Xplore

An Empirical Study of the Relationship Among Self-Control, Price Promotions and Consumer Purchase Behavior

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, p.1867-1872

2018

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IEEE_Xplore

Data Mining for Service

Yada, Katsutoshi

2014., 2014

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The Influence of Shopping Path Length on Purchase Behavior in Grocery Store

Knowledge-Based and Intelligent Information and Engineering Systems, p.273-280

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A Bayesian Network Approach for Predicting Purchase Behavior via Direct Observation of In-store Behavior

Advanced Methodologies for Bayesian Networks, 2015, Vol.9505, p.61-75

2015

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Extracting Promising Sequential Patterns from RFID Data Using the LCM Sequence

Knowledge-Based and Intelligent Information and Engineering Systems, p.244-253

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Verification of Effect on Next Purchase When Many Vice Category Products are Brought

Procedia computer science, 2015, Vol.60, p.1780-1787

2015

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Evaluation of Price Elasticity and Brand Loyalty in Milk Products

Procedia computer science, 2014, Vol.35, p.1482-1487

2014

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Consumer Purchasing Behavior Extraction Using Statistical Learning Theory

Procedia computer science, 2014, Vol.35, p.1464-1473

2014

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Clockwise and Anti-clockwise Directions of Customer Orientation in a Supermarket: Evidence from RFID Data

Knowledge-Based and Intelligent Information and Engineering Systems, p.304-309

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Finding latent groups of customers via the poisson mixture regression model

2011 IEEE International Conference on Systems, Man, and Cybernetics, 2011, p.3603-3608

2011

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IEEE_Xplore

Special issue on chance discovery – Discovery of significant events for decision making

Information sciences, 2009-05, Vol.179 (11), p.1567-1569

2009

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New Frontiers in Artificial Intelligence: JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15-17, 2020, Revised Selected Papers

New Frontiers in Artificial Intelligence: JSAI-IsAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ, Yokohama, Japan, November 13-15, 2021, Revised Selected Papers

Selected Papers from the 35th JSAI Annual Meeting

Duration of price promotion and product profit: An in-depth study based on point-of-sale data

Analysis of social influence on in-store purchase behavior by using ecological system of ants

The impact of self-control on search behavior

Advances in Artificial Intelligence: Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019)

New Frontiers in Artificial Intelligence: JSAI-IsAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12-17, 2022, Revised Selected Papers

Fractal Dimension of Shopping Path: Influence on Purchase Behavior in a Supermarket

Relation between Stay-Time and Purchase Probability Based on RFID Data in a Japanese Supermarket

The influence of sales areas and bargain sales on customer behavior in a grocery store

The Influence of Customer Movement between Sales Areas on Sales Amount: A Dynamic Bayesian Model of the In-store Customer Movement and Sales Relationship

Analyzing consumers’ shopping behavior using RFID data and pattern mining

The Short-Term Impact of an Item-Based Loyalty Program

An Empirical Study of the Relationship Among Self-Control, Price Promotions and Consumer Purchase Behavior

Data Mining for Service

The Influence of Shopping Path Length on Purchase Behavior in Grocery Store

A Bayesian Network Approach for Predicting Purchase Behavior via Direct Observation of In-store Behavior

Extracting Promising Sequential Patterns from RFID Data Using the LCM Sequence

Verification of Effect on Next Purchase When Many Vice Category Products are Brought

Evaluation of Price Elasticity and Brand Loyalty in Milk Products

Consumer Purchasing Behavior Extraction Using Statistical Learning Theory

Clockwise and Anti-clockwise Directions of Customer Orientation in a Supermarket: Evidence from RFID Data

Finding latent groups of customers via the poisson mixture regression model

Special issue on chance discovery – Discovery of significant events for decision making

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