Restoration of Data Structures Using Machine Learning Techniques

Restoration of Data Structures Using Machine Learning Techniques

Tabular data is the most common format used to represent real-world information. Almost all programs created for storing or processing data, such as relational database systems, spreadsheets, and statistical analysis software can import or export tabular data. These programs are not sufficiently rob...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Branislava Cvijetic, Zaharije Radivojevic
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: IEEE 2023-01-01
Sarja:IEEE Access
Aiheet:
Information extraction
messy datasets
machine learning algorithms
schema discovery
Linkit:https://ieeexplore.ieee.org/document/10278426/

Internet

https://ieeexplore.ieee.org/document/10278426/

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