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Keywords:
Algorithm,
Outbid,
Parameters,
Rule,
Likelihood
an algorithm that takes a set of parameters (or features ) that characterize objects (or instances ) and uses them to determine the type (or class ) of each object
a rule consisting of a Condition , an Action , and other parameters, such as Strength or Accuracy
a rule set, or detection model, generated by the data mining algorithm that was trained over a given set of training data
A set of production rules used to match environmental data and suggest an action to be taken, usually incorporates a genetic algorithm. Each rule covers part of state space.
A rule that is part of a classifier system and has a condition that must be matched before its message (or action) can be posted (or effected). The strength of a classifier determines the likelihood that it can outbid other classifiers if more than one condition is matched.
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