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
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;
Conference_Titel :
Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7695-1754-4
DOI :
10.1109/ICDM.2002.1183898
