Detection of Outlier Information Using Linguistic Summarization

The main goal of automatic summarization of databases is usually to characterize the collection of data in terms of the dominant information involved. In complement to this task, the present paper shows the use of linguistic summarization for the characterization of databases containing textual records through detection of outlier information involved. The method applies a fuzzy measure of similarity between sentences to the summarization result.Certain level of standadization of textual records is assumed.

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