Big Data—Knowledge Discovery in Production Industry Data Storages—Implementation of Best Practices
نویسندگان
چکیده
CRISP-DM (cross-industry standard process for data mining) methodology was developed as an intuitive tool scientists, to help them with applying Big Data methods in the complex technological environment of Industry 4.0. The review numerous recent papers and studies uncovered that most focus either on application existing case studies, summarizing knowledge, or developing new a certain kind problem. Although all these types research are productive required, we identified lack best practices specific field. Therefore, our goal is propose analysis production industry. foundation proposal based three main points: theoretical framework, literature overview expression current needs interests field analysis, projects were directly involved source real-world experience. results presented lists common problems selected phases (‘Data Preparation’ ‘Modelling’), possible solutions, diagrams phases. These recommendations can other scientists avoid choose way approach them.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11167648