Automatic summarization of databases has become indispensable in a number of tasks involving information exchange or strategic decision making. It is also important when huge bases of documents must be clustered. The present paper deals with summarization of standardized databases containing both numerical and textual records. The method and its variations are described and explained on illustrative examples.
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- Linguistic Summaries of Standardized Documents
Piotr S. Szczepaniak
- Springer Berlin Heidelberg
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