juancarlos cubero mlyxktugres please apologize multiple posting data knowledge engineering special issue intelligent data mining httpelvexugresdke2005 submission deadline may 20th 2005 aims scope researchers data mining field traditionally focused efforts obtaining fast scalable algorithms order deal huge amounts data nevertheless true often might desire results obtain using efficient algorithms limited use practice mere volume results causes known secondorder data mining problem consequence quality resulting knowledge discovery process poor hence limiting data mining spread use acceptance many realworld situations better understandable models exploratory techniques maybe wholly new techniques must getting data mining techniques case want foster adoption data mining actual realworld problems special issue seeks papers dealing models methods techniques algorithms focused quality interpretability obtained results improvements traditional data mining techniques application novel techniques taken consideration topics interest use fuzzy rough sets improve interpretability data mining results applicability genetic algorithms evolutionary computation data mining tasks ontologies role discovering complex patterns discovery rarities anomalies exceptions kinds knowledge alternative techniques representation exploration data mining results novel models techniques summarizing data mining results methods dealing imprecision uncertainty data mining results guest editors juancarlos cubero university granada spain fkdfxwwjdecsaiugres fernando berzal university granada spain qpljszbdecsaiugres wed 06 aug 2008 070553 0100 uai dke special issue intelligent data mining