Detecting quality problems in research data-Reference-Cited by-同舟云学术

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Detecting quality problems in research data

Published:2020-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
language:
Short-container-title:

Author:

Kesper Arno¹,Wenz Viola¹,Taentzer Gabriele¹

Affiliation:

1. Philipps-Universität Marburg

Funder

German Federal Ministry of Education and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3365438.3410987

Reference41 articles.

1. Temporal rules discovery for web data cleaning

2. Querying semi-structured data

3. Methodologies for data quality assessment and improvement

4. Efficient Fuzzy Search Engine with B -Tree Search Mechanism

5. Quality-driven information filtering using the WIQA policy framework

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Marine Data Observability using KPIS: An MDSE Approach;2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS);2023-10-01

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