Art
J-GLOBAL ID:202202225096296724   Reference number:22A1232865

Data Mining and Soft Computing in Business Model for Decision Support System

意思決定支援システムのためのビジネスモデルにおけるデータマイニングとソフトコンピューティング【JST・京大機械翻訳】
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Material:
Volume: 2022  Page: Null  Publication year: 2022 
JST Material Number: W0689A  ISSN: 1058-9244  Document type: Article
Article type: 原著論文  Country of issue: United Kingdom (GBR)  Language: ENGLISH (EN)
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Several studies were taken to ...
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Management engineering in general  ,  Computer system development  ,  Artificial intelligence  ,  Marketing 
Reference (30):
  • N. Castellano, R. Del Gobbo, "Data-mining tools for business model design: the impact of organizational heterogeneity," Lecture Notes in Information Systems and Organisation, vol. 20, pp. 237-248, 2017.
  • S. Lee, I. Jung, "Development of a platform using big data-based artificial intelligence to predict new demand of shipbuilding," The Journal of The Institute of Internet, Broadcasting and Communication, vol. 19, no. 1, pp. 171-178, 2019.
  • T. Ayadat, D. Ahmed, S. Chowdhury, A. Asiz, "Measurable performance indicators of student learning outcomes: a case study," Global Journal of Engineering Education, vol. 22, no. 1, pp. 40-50, 2020.
  • H. Breuer, K. Fichter, F. L. Freund, I. Tiemann, "Sustainability-oriented business model development: principles, criteria and tools," International Journal of Entrepreneurial Venturing, vol. 10, no. 2, pp. 256-286, 2018.
  • V. Suma, S. M. Hills, "Data mining based prediction of demand in Indian market for refurbished electronics," Journal of Soft Computing Paradigm (JSCP), vol. 2, no. 2, pp. 101-110, 2020.
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