Data Integration: The Current Status and the Way Forward

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, background): “we point the readers to some excellent surveys [40], [41].”
Data collection and quality challenges in deep learning: a data-centric AI perspective (2021, background): “In general, data integration is by itself a large research area that has been studied for decades [56,153], although not all techniques are relevant to machine learning.”
Data-centric Artificial Intelligence: A Survey (2023, unknown): “Collection Dataset discovery Collaboration Minimum [28, 75, 167] Data integration Automation Programmatic [128, 137] Data integration Automation Learning-based [220, 221] Raw data synthesis Automation Programmatic [133]”
Towards Automated Data Cleaning Workflows (2019, background): “Although the prevalence of speciﬁc error types suggests a ranking of error detection algorithms for a dataset at hand, we cannot limit the error detection eﬀort to only running one single approach [27].”