Experimental Designs for Data Quality Control
摘要
The acquisition of high-quality data is a cornerstone of contemporary decision-making models. Data markets provide a mechanism for augmenting the data supply, particularly in domains where data is scarce. A significant challenge for data buyers in such markets is the selection of the most valuable data points from a data seller. Experimental designs frequently inform the data selection process. This chapter delineates the representative methods of experimental designs and explores their recent advancements.