MPGN ¿ An Approach for Discovering Class Association Rules
Iliya Mitov
Broschiertes Buch

MPGN ¿ An Approach for Discovering Class Association Rules

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Data mining is of great importance in the overall process of knowledge discovery. Different rule quality measures and rule ordering schemes can be applied in the process of rule selection. The mining of association rules is a typical data mining task that works in an unsupervised manner. A major advantage of association rules is that they are theoretically capable to reveal all interesting relationships in a database. Class-Association Rules (CAR) algorithms have a special place within the family of classification algorithms. This type of classifiers offers a number of advantages: efficiency o...