Name
Title | ||
|---|---|---|
Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science |
Abstract | ||
|---|---|---|
The application of Industrial Data Science in context of connected Smart Products requires modeling and structuring data for its design, development and use. Especially for Smart Products, a comprehensive handling of data quality is mandatory, because of their interdisciplinary character and broad range of heterogeneous stakeholders covering the entire product lifecycle. The overall goal of data p... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IRI51335.2021.00024 | 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI) |
Keywords | DocType | ISBN |
Data quality,data analysis quality,industrial data science,quality management,quality assurance,data quality criteria | Conference | 978-1-6654-3875-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolai West | 1 | 0 | 0.34 |
| Jonas Gries | 2 | 0 | 0.34 |
| Carina Brockmeier | 3 | 0 | 0.34 |
| Jens C. Göbel | 4 | 0 | 0.34 |
| Jochen Deuse | 5 | 13 | 5.43 |