Abstract
This paper, is a further development of a combined fuzzy querying and data mining paradigm. The point of departure is the FQUERY for Access. Its earlier version offered the generation of fuzzy association rules within the fuzzy querying interface. We report on extensions to a wider range of available data mining tools, mainly from cluster analysis,and more specifically, a clustering algorithm by Owsinski and Zadrozny. The data to be clustered is first fuzzified using a dictionary of linguistic terms. Additionally, the resulting clusters are helpful in running other data mining tools, notably the generation of association rules.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
