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This study proposes a novel classification technique of GA/k-prototypes in combination with a genetic algorithm to take the advantage of k-prototypes clustering mechanism for supporting the classification purpose. A genetic algorithm is used to adjust the weight applied to input attributes in order to enable a majority of the data records in each cluster to be with the same outcome class. We conduct...
First, the definition of similarity degree of objects in continuous domain decision table is given; then, according to fuzzy clustering, an attribute reduct and attribute significance algorithm of continuous domain decision table is put forward; thirdly, a classification algorithm is proposed according to the principle of maximum membership degree; at last, the validity of this classification algorithm...
Intrusion detection is one of network security area of technology main research directions. Data mining technology was applied to network intrusion detection system (NIDS), may automatically discover the new pattern from the massive network data, to reduce the workload of the manual compilation intrusion behavior patterns and normal behavior patterns. This article reviewed the current intrusion detection...
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