年別の研究成果
年別の研究成果
フィンガープリント
Masayuki Gotoが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
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研究成果
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Analysis of purchase history data based on a new latent class model for RFM analysis
Zhang, Q., Yamashita, H., Mikawa, K. & Goto, M., 2020 6, In : Industrial Engineering and Management Systems. 19, 2, p. 476-483 8 p.研究成果: Article › 査読
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Model for relational analysis of posted articles and reactions on restaurant guide sites
Sakamoto, T., Yamashita, H., Goto, M. & Iwanaga, J., 2020 9, In : Industrial Engineering and Management Systems. 19, 3, p. 669-679 11 p.研究成果: Article › 査読
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Relational analysis model of weather conditions and sales patterns based on nonnegative tensor factorization
Okayama, S., Yamashita, H., Mikawa, K., Goto, M. & Yoshikai, T., 2020 4 17, In : International Journal of Production Research. 58, 8, p. 2477-2489 13 p.研究成果: Article › 査読
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An analytic model to represent relation between finish date of job-hunting and time-series variation of entry tendencies
Nagamori, S., Mikawa, K., Goto, M. & Ogihara, T., 2019 1 1, In : Industrial Engineering and Management Systems. 18, 3, p. 292-304 13 p.研究成果: Review article › 査読
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A Study on Analysis Methods of Latent Customer Purchase Behavior Focused on Membership Stage Growth
Yang, T., Yamashita, H. & Goto, M., 2019 5, Proceedings - 2019 IEEE/ACIS 4th International Conference on Big Data, Cloud Computing, and Data Science, BCD 2019. Iwashita, M., Shimoda, A. & Chertchom, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 148-153 6 p. 8885138. (Proceedings - 2019 IEEE/ACIS 4th International Conference on Big Data, Cloud Computing, and Data Science, BCD 2019).研究成果: Conference contribution