Towards a Unified Framework for Data Cleaning and Data Privacy

Data quality has become a pervasive challenge for organizations as they wrangle with large, heterogeneous datasets to extract value. Existing data cleaning solutions have focused on scalable techniques to resolve inconsistencies quickly. However, given the proliferation of sensitive, confidential user information, data privacy concerns have largely remained unexplored in data cleaning techniques. In this work, we present a new privacy-aware, …