An overview of end-to-end entity resolution for big data
One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …
End-to-end entity resolution for big data: A survey
V Christophides, V Efthymiou, T Palpanas… - ar** similar entities together, while satisfying a
mathematically well-defined fairness metric as a constraint. Due to the practical challenges …
mathematically well-defined fairness metric as a constraint. Due to the practical challenges …
Adaptive rule discovery for labeling text data
Creating and collecting labeled data is one of the major bottlenecks in machine learning
pipelines and the emergence of automated feature generation techniques such as deep …
pipelines and the emergence of automated feature generation techniques such as deep …