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Similarity search is an essential operation in many applications. Given a collection of set records and a query, the exact set similarity search aims at finding all the records that are similar to the query from the collection. Existing methods adopt a filter-and-verify framework, which make use of inverted indexes. However, as the complexity of verification is rather low for setbased similarity metrics,...
String similarity search is a fundamental operation in data cleaning and integration. It has two variants, threshold-based string similarity search and top-k string similarity search. Existing algorithms are efficient either for the former or the latter; most of them can't support both two variants. To address this limitation, we propose a unified framework. We first recursively partition strings...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.