Big Data Cleaning

Data cleaning is, in fact, a lively subject that has played an important part in the history of data management and data analytics, and it still is undergoing rapid development. Moreover, data cleaning is considered as a main challenge in the era of big data, due to the increasing volume, velocity and variety of data in many applications. This paper aims to provide an overview of recent work in different aspects of data cleaning: error detection methods, data repairing algorithms, and a generalized data cleaning system. It also includes some discussion about our efforts of data cleaning methods from the perspective of big data, in terms of volume, velocity and variety.