Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms

We show how linguistic database summaries can provide tools for human friendly data mining. The relevance of Zadeh's concept of a protoform is indicated. We present the use of our fuzzy databse querying interface for an effective and efficient mining of such linguistic data summaries. We outline an implementation for a computer retailer involving both data from an internal database of the company and data downloaded from external databases via the Internet.

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