Automated Annotations for AI Data and Model Transparency
Abstract
References
Index Terms
- Automated Annotations for AI Data and Model Transparency
Recommendations
Machine Learning and Data Cleaning: Which Serves the Other?
The last few years witnessed significant advances in building automated or semi-automated data quality, data cleaning and data integration systems powered by machine learning (ML). In parallel, large deployment of ML systems in business, science, ...
An Enhanced Technique to Clean Data in the Data Warehouse
DESE '11: Proceedings of the 2011 Developments in E-systems EngineeringData quality is a critical factor for the success of data warehousing projects. Improving the quality of data is important in data warehouse, because it is used in the process of decision support, which requires accurate data. There are many errors and ...
Missing Data Imputation Techniques
Intelligent data analysis techniques are useful for better exploring real-world data sets. However, the real-world data sets always are accompanied by missing data that is one major factor affecting data quality. At the same time, good intelligent data ...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Refereed
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 711Total Downloads
- Downloads (Last 12 months)147
- Downloads (Last 6 weeks)22
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderFull Text
View this article in Full Text.
Full TextHTML Format
View this article in HTML Format.
HTML Format