Discoverng knowledge from data appears as a complex iterative and interactive process containing many steps:understandin ghte data.preparing the data set,discovering potentially interesting patterns (mining phase),posttprocessing of discovered patterns and finally putting the results in use.Different kinds of patterns might be sued and therefore different data mining techniques are needed (e.g.,association adn episode rules for alarm analysis,clusters and decision trees for sales data analysis,inclusionand functional dependencies for database reverse engineering,etc).
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