Title :
Contextual generic association rules visualization using hierarchical fuzzy meta-rules
Author :
Yahia, S.B. ; Nguifo, E. Mephu
Author_Institution :
Departement des Sci. de l´´informatique, Tunis Univ., Tunisia
Abstract :
Traditional framework for mining association rules has pointed out the derivation of many redundant rules, in order to be reliable in a decision making process, such discovered rules have to be concise and easily understandable for users or as well as an input to visualization tools. We present a 3D histograms-based visualization prototype for handling generic bases of association rules. An interesting feature of the prototype is that it provides a "contextual" exploration of such rule set. Such additional displayed knowledge, based on the construction of fuzzy meta-rules, enhances man-machine interaction by emulating a cooperative behavior.
Keywords :
cooperative systems; data mining; fuzzy systems; 3D histograms based visualization prototype; contextual exploration; data mining; hierarchical fuzzy meta-rules; mining association rules; Association rules; Data mining; Databases; Decision making; Electronic mail; Histograms; Itemsets; Lenses; Prototypes; Visualization;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375724