2023
DOI: 10.48550/arxiv.2302.04726
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs

Abstract: Nowadays, machine learning plays a key role in developing plenty of applications, e.g., smart homes, smart medical assistance, and autonomous driving. A major challenge of these applications is preserving high quality of the training and the serving data. Nevertheless, existing data cleaning methods cannot exploit context information. Thus, they usually fail to track shifts in the data distributions or the associated error profiles. To overcome these limitations, we introduce, in this paper, a novel method for… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 9 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?