Title :
User guidance: from theory to practice, the case of visual data mining
Author :
Badjio, Edwige Fangseu ; Poulet, Franqois
Author_Institution :
ESIEA Pole ECD, Pare Univ. de Laval-Change, Laval
Abstract :
We present two modules for users´ guidance in visual data mining (VDM) domain which use artificial intelligence. User guidance refers to the available ways to advise, orient, instruct, and inform the users throughout their interactions with a computer. The first module allows recommending best available data mining algorithms to users and the second module aims at reducing attributes and/or data items in very large data sets to be visually mined
Keywords :
artificial intelligence; data mining; artificial intelligence; user guidance; visual data mining; Artificial intelligence; Classification algorithms; Computer aided software engineering; Data mining; Data visualization; Human factors; Inference algorithms; Learning; Multiagent systems; Prediction algorithms;
Conference_Titel :
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2488-5
DOI :
10.1109/ICTAI.2005.125
