The KDD Process for Extracting Useful Knowledge from Volumes of Data Mining

Pardeep Nehra


The aim of this research work is to discover the exception by using the rough set approach and to structure/represent the exceptions in the form of rule pair, a knowledge structure that consist of commonsense rule and exception rule. Knowledge structures are compact representation of rules and increase the comprehensibility. Data mining refers to extracting or mining knowledge from large amounts of data. The overall process of extracting useful information is referred as Knowledge Discovery in Databases. Data mining is particular step in this process application of specific algorithms for extracting patterns (models) from data. Mining exceptions is getting attention of researchers because it is interesting to discover exceptions, as they challenge the existing knowledge, lead to the growth of knowledge in new directions and help decision makers to make right decisions even in rare circumstances.


KDD, Data Mining, NN, Rough Set, Fuzzy Set.

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