A Survey of Data Cleansing Algorithms for Detecting Duplicate Records

In today's competitive environment, there is a need for more precise information for a better decision making. Yet the inconsistency in the data submitted makes it difficult to aggregate data and analyze results which may delays or data compromises in the reporting of results. The purpose of this article is to study the different algorithms available to clean the data to meet the growing demand of industry and the need for more standardised data. The data cleaning algorithms can increase the quality of data while at the same time reduce the overall efforts of data collection.