User Guidance: From Theory to Practice, the Case of Visual Data Mining

Authors:
Edwige Fangseu Badjio;Francois Poulet
Affiliations:
ESIEA Pôle ECD, Parc Universitaire de Laval-Change;ESIEA Pôle ECD, Parc Universitaire de Laval-Change
Venue:
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Year:
2005

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ACM Transactions on Intelligent Systems and Technology (TIST)

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Abstract

We present two modulesfor users' guidance in visual data mining (VDW 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.