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"knowledge extraction" is a correct and usable phrase in written English.
It refers to the process of retrieving relevant information or data from a source. It is commonly used in the fields of data science, information technology, and computer science. Example: The team used sophisticated algorithms for knowledge extraction from large datasets, allowing them to identify key trends and patterns. In this sentence, "knowledge extraction" is used to describe the process of retrieving information from datasets.
Exact(60)
We have realized the previously described interactive knowledge extraction service to extract knowledge from accessible federated data using this method.
IJSWIS, Special Issue on Knowledge Extraction from the Web, 2012.
Secondly, it facilitates knowledge extraction from the generated solutions.
Knowledge extraction is an important part of e-Health system.
Methods for knowledge initialization, knowledge refinement and knowledge extraction are introduced.
We describe our efforts on knowledge extraction, linkage, and cleaning to significantly improve the coverage and quality of product knowledge.
Tan, J., Ung, M., Cheng, C. & Greene, C.S. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders.
To effectively reuse these assets, knowledge extraction becomes a significant research area.
Such knowledge extraction confirmed the obtained model as credible and valuable for telemarketing campaign managers.
Knowledge extraction by just listening to sounds is a distinctive property.
The combination of HRS with ANNs appeared to be an excellent method for knowledge extraction.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com