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Rough set theory is applied to generate the rules from the vibration signals.
The bounded error approach is applied to generate the rules for the model using available measurements.
The central features of this model are its ability to dynamically generate the rules needed to solve the RPM and its biologically detailed implementation in spiking neurons.
The rule extraction module data mines the neural network by queries to generate the rules used for trending.
They are also used to generate the rules via the (PP_MAR_MaxSC_{2}) post-processing approach as discussed in Sect.
When 10%% of the input data set is mined using apriori algorithm 27 best unique rules are generated The time taken to generate the rules by predictive apriori is much higher than apriori.
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An alternative hypothesis is that the exceptions to Haldane's rule that we observe in toads reflect specific mechanisms that generate the rule itself.
A recent publication by Adams and Leveson (2012) [ 6] states that rules generated in this manner are generally easily understood and translatable into everyday clinical practices, but could lose accuracy if too little information is used to generate the rule.
Silberschatz and Tuzhilin suggested incorporating interestingness into the data-mining engine that generates the rules, in order to produce interesting rules in the first place.
An accurate data set of the system/plant under discussion is required only for generating the rule base.
Edges between the frequent itemsets and the association rules indicate which itemsets have been used to generate the association rules.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com