Automatic recommendation of prognosis measures for mechanical components based on massive text mining-Reference-Cited by-同舟云学术

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Automatic recommendation of prognosis measures for mechanical components based on massive text mining

Published:2017-12-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services
language:
Short-container-title:

Author:

Martinez-Gil Jorge¹,Freudenthaler Bernhard¹,Natschläger Thomas¹

Affiliation:

1. Hagenberg GmbH, Hagenberg, Austria

Funder

Federal Ministry of Science, Research and Economy

Province of Upper Austria

Austrian Research Promotion Agency

Austrian Ministry for Transport, Innovation and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3151759.3151774

Reference26 articles.

1. Harvesting Relations from the Web - Quantifiying the Impact of Filtering Functions;Blohm S.;AAAI

2. Large-scale pattern-based information extraction from the world wide web. Karlsruhe Institute of Technology 2010;Blohm S.;ISBN

3. Using the Web to Reduce Data Sparseness;Blohm S.;Pattern-Based Information Extraction. PKDD

4. An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems

5. Word2Vec

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. Perspective: Large Language Models in Applied Mechanics;Journal of Applied Mechanics;2023-07-17

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