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