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Classification based on rules and thyroids dysfunctions
Author(s) -
Gibert Karina,
Sonicki Zdenko
Publication year - 1999
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/(sici)1526-4025(199910/12)15:4<319::aid-asmb396>3.0.co;2-h
Subject(s) - computer science , context (archaeology) , artificial intelligence , set (abstract data type) , data set , data mining , machine learning , geography , archaeology , programming language
Classification in ill‐structured domains (ISD) is a difficult problem for the actual statistical and artificial intelligence techniques, because of the intrinsic characteristics of those domains. Classification based on rules is our proposal to overcome the limitations of Statistics and Artificial Intelligence techniques referred to in this particular context. In this paper, an application of the classification based on rules to a set of real data is presented. Data base is about thyroid function and data was provided by a hospital from Zagreb (Croatia) covering a period of two years. Copyright © 1999 John Wiley & Sons, Ltd.