Abstract
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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Zadrożny, S., Kacprzyk, J., Gola, M. (2005). Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_111
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DOI: https://doi.org/10.1007/11550907_111
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