New book chapter on data quality

Our book chapter, Data Quality: Models, Measures, and Tools, in the Springer Handbook of Data Engineering, is now available.

It introduces ML methods for DQ evaluation and improvement in data cleaning, labeling, augmentation, and other tasks. The summary and comparative analysis of DQ tools offer other solutions for DQ issues. Meanwhile, this chapter introduces DQ in multisource and multimodal data and discusses how they can improve DQ.