Keywords
knowldege discovery from databases, artificial intelligence, statistics, prior knowledge, clustering based on rules, postprocessing, interpretation support tools, reporting, data mining
Start Date
1-7-2008 12:00 AM
Abstract
KLASS (Gibert et alt 2005b) is a software originally conceived for Knowledge Discovery(KDD) in real domains with complex structure (Gibert et alt 1999). It provides some mixturesof statistical and artificial intelligence tools to support KDD, including basic statistics andproviding an integrated system to support the whole process of KDD including pre and postprocessing, provided that the main data mining technique to be used is related with clusteringor rule induction (Gibert et alt 2005c).
Pre and Postprocessing in KLASS
KLASS (Gibert et alt 2005b) is a software originally conceived for Knowledge Discovery(KDD) in real domains with complex structure (Gibert et alt 1999). It provides some mixturesof statistical and artificial intelligence tools to support KDD, including basic statistics andproviding an integrated system to support the whole process of KDD including pre and postprocessing, provided that the main data mining technique to be used is related with clusteringor rule induction (Gibert et alt 2005c).
