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Queries with threshold are common when dealing with unstructured data such as text corpus. It often requires several exploring attempts for users to achieve final results. In this work, we propose an automatic sampling method for threshold determination without any interaction with users, in which two optimizing algorithms are introduced to reach the lower-bound time complexity in each sampling trial...
Recent years have witnessed the rapid growth of text data, and thus the increasing importance of in-depth analysis of text data for various applications. Text data are often organized in a database with documents labeled by attributes like time and location. Different documents manifest different topics. The topics of the documents may change along the attributes of the documents, and such changes...
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