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Issue title: Novel Research Results Presented at the JCKBSE2022
Guest editors: George A. Tsihrintzis, Maria Virvou and Takuya Saruwatari
Article type: Research Article
Authors: Takeuchi, Hironoria; * | Imazaki, Kotab | Kuno, Noriyoshic | Doi, Takuod | Motohashi, Yosukee
Affiliations: [a] Musashi University, Tokyo, Japan | [b] Information-Technology Promotion Agency, Japan | [c] Mitsubishi Electric Corporation, Japan | [d] Digital Athlete, Japan | [e] NEC Corporation, Japan
Correspondence: [*] Corresponding author: Hironori Takeuchi, Musashi University, Toyotama-kami 1-26-1, Nerima-ku, Tokyo 176-8534, Japan. E-mail: h.takeuchi@cc.musashi.ac.jp.
Abstract: Recently, machine learning (ML) techniques have been introduced into various domains. This study focuses on projects for the development of ML-based service systems in which ML techniques are applied to enterprise functions. In these projects, constructing reusable knowledge on projects that develop ML-based service systems is important to effectively implement such projects. Here, the collection of insights and development of architecture and design patterns for ML-based service systems are considered. We propose a method for collecting insights by referring to a development model based on project practices and developing patterns for ML projects as an enterprise architecture model. Through a practice, we attempt to collect insights as best practices and construct design patterns for ML projects using the proposed method.
Keywords: Machine learning, ML service system, best practice, pattern
DOI: 10.3233/IDT-220252
Journal: Intelligent Decision Technologies, vol. 16, no. 4, pp. 725-735, 2022
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