A Survey of Approximately Duplicate Data Cleaning Method
相似重复记录清理方法研究综述

This paper introduces the steps, frameworks and metrics of approximately duplicate data cleaning. Then, the detect algorithms and the elimination algorithms are surveyed essentially,according to type and their improvement methods, and the algorithms usage scope and their advantages and disadvantages are given. Many data cleaning tools are presented, such as Merge/Purge. Finaly, it discusses the future research topics in data cleaning and points out that the concept of knowledge and semantic used in the framework of data cleaning will be an important trend.