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In the late 1920s the 6-, 8-, and 12-Metre International Rule classes became popular.
Besides, the Model Constructing Phase is used to construct three kinds of rule classes: normal rule classes, intrusion rule classes and suspicious rule classes, to filter false alert patterns and analyze each existing or unknown alert patterns; each rule class represents a set of classification rules.
Intrusion rule classes, a set of known intrusion classification rules, and suspicious rule classes, a set of novel intrusion classification rules, can be trained in a simulated attacking environment using several well-known rootkits and labeling by experts.
Using frequent closed itemset generators (lattice ({mathcal L}{mathcal C}{mathcal G})), [32] proposed algorithms for mining rule classes.
Observing the satisfied rule classes, we see that they retain many redundant candidates that are duplicates or were missed by the constraints.
Pasquier et al. [32] and Tin et al. [36] concentrate on methods to discover rules with minimal antecedents and maximal consequents in rule classes with identical closures.
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The new AC72 is a "box rule" class in which designers have certain parameters.
The main methods of the Rule class are presented in Fig. 2.
Open image in new window Fig. 1 Membrane class Open image in new window Fig. 2 Rule class.
The weight of a fuzzy rule reflects the relative strength the boosting algorithm assigns to the rule class when it aggregates the casted votes.
Normal rule class, a set of false alert classification rules, can be trained by using sequential pattern mining approach in an attack-free environment.
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