Intelligent Data Mining Assistance

Nowadays decision makers in competitive and diversebusiness sectors must make informed decisions aboutstrategic problems. Such problems are often complexenough to warrant the use of sophisticated analyticalmethods for their resolution (i.e. forecastingclassification etc.). Having borrowed from themyriad of techniques and models available from theareas of machine learning and statistics data mining(DM) has become a very specialized field.Consequently the effective application of DM islittered with many difficult and technical decisions(i.e. data cleansing feature transformationsalgorithm and parameter selection model evaluation).Most data mining products provide a large number ofmodels and tools but few provide intelligentassistance. Moreover research seems to be based onutterly specialized DM techniques rather thanfocusing on strategic methodological and evenepistemological aspects of DM. As a result thefollowing work attempts to verify if the use of acase-based reasoning system and other AI techniqueswill provide an adequate environment for the reuse ofdata mining knowledge with the intention of bettersupporting the decision making process.