Feature-Based and Adaptive Rule Adaptation in Dynamic Environments

Feature-Based and Adaptive Rule Adaptation in Dynamic Environments

Abstract Rule-based systems have been used increasingly to augment learning algorithms for annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic approaches, in cases algorithms are not working well or lack from enough training data. However, in dynamic curation envir...

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Bibliographic Details
Main Authors: Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Data Science and Engineering
Subjects:
Rule adaptation
Data annotation rules
Rule-based systems
Data curation systems
Online Access:https://doi.org/10.1007/s41019-020-00130-4

Internet

https://doi.org/10.1007/s41019-020-00130-4

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