@inbook {IOPORT.01424010,
    author       = {Pedrycz, Witold},
    title        = {Linguistic data mining.},
    year         = {1999},
    booktitle    = {Computing with words in information/intelligent systems 2. Applications},
    isbn         = {3-7908-1218-8},
    pages        = {399-420},
    publisher    = {Heidelberg: Physica-Verlag},
    abstract     = {Summary: Data mining emerges as a prudent and user-oriented sifting of data, qualitative observations and calibration of commonsense rules in an attempt to establish meaningful and useful relationships between system's variables. The role of fuzzy sets in knowledge discovery has not been visible even though fuzzy sets are inherently inclined towards coping with linguistic domain knowledge. This study re-examines the key issues of knowledge discovery by putting them in the context of the technology of fuzzy sets. Subsequently, we reveal several interesting conceptual and algorithmic links between linguistic data mining and fuzzy sets. The detailed investigations are geared toward inherently knowledge-oriented and context based modifications of well known techniques of fuzzy clustering.},
    identifier   = {01424010},
}