Add to Favourites
To login click here

The article discusses the importance of data quality in the age of the Internet of Things (IoT) and the increasing reliance on Machine Learning (ML). It highlights the challenges posed by poor-quality data and the potential of context-aware data cleaning tools, specifically those that utilize Ontological Functional Dependencies (OFDs). The proposed solution, LLMClean, utilizes large language models to automatically construct context models for more efficient and accurate data cleaning.