DocumentCode
3248887
Title
Modal-style operators in qualitative data analysis
Author
Düntsch, Ivo ; Gediga, Günther
Author_Institution
Dept. of Comput. Sci., Brock Univ., St. Catharines, Ont., Canada
fYear
2002
fDate
2002
Firstpage
155
Lastpage
162
Abstract
We explore the usage of the modal possibility operator (and its dual necessity operator) in qualitative data analysis, and show that it-quite literally-complements the derivation operator of formal concept analysis; we also propose a new generalization of the rough set approximation operators. As an example for the applicability of the concepts we investigate the Morse data set which has been frequently studied in multidimensional scaling procedures.
Keywords
approximation theory; data analysis; modal analysis; rough set theory; Morse data set; concept analysis; dual necessity operator; modal possibility operator; modal-style operators; multidimensional scaling; qualitative data analysis; rough set approximation operator generalization; Computer science; Costs; Data analysis; Logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International Conference on
Print_ISBN
0-7695-1754-4
Type
conf
DOI
10.1109/ICDM.2002.1183898
Filename
1183898
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