文章基本信息

标题：A Case Study of Process Engineering of Operations In Working Sites Through Data Mining and Augmented Reality
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作者：Alessandro Massaro ; Angelo Galiano ; Antonio Mustich 等
期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2019
卷号：9
期号：5
页码：1-19
DOI：10.5121/ijdkp.2019.9501
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper is analyzed the design of a software platform concerning a case study of process engineering involving the simultaneous adoption of data digitation, Data Mining –DM- processing, and Augmented Reality -AR-. Specifically is discussed the platform design able to upgrade the Knowledge Base –KBenabling production process optimizations in working sites. The KB is gained by following ‘Frascati’ research guidelines addressing the possible ways to achieve the Knowledge Gain –KG-. The technologies such as AR and data entry mobile app are tailored in order to apply innovative data mining algorithms. In the first part of the paper is commented the preliminary project specifications, besides, in the second part, are shown the use cases, the unified modeling language –UML- models, and the mobile app mockups enabling KG. The proposed work discusses preliminary results of an industry project.
关键词：Frascati Guideline; Knowledge Base Gain; Data Mining; Augmented Reality;