Similarity Joins are some of the most useful and powerful data processing techniques. They retrieve all the pairs of data points between different data sets that are considered similar within a certain threshold. This operation is useful in many situations, such as record linkage, data cleaning, and many other applications. While many techniques to perform Similarity Joins have been proposed, one of the most useful methods is the use of indexing structures to improve the performance of Similarity Joins.
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