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APPLICATION OF MACHINE LEARNING METHODS FOR MINING ASSOCIATION RULES IN PLANT AND ANIMAL DATA SETS CONTAINING MOLECULAR GENETIC MARKERS, FOLLOWED BY CLASSIFICATION OR PREDICTION UTILIZING FEATURES CREATED FROM THESE ASSOCIATION RULES
APPLICATION OF MACHINE LEARNING METHODS FOR MINING ASSOCIATION RULES IN PLANT AND ANIMAL DATA SETS CONTAINING MOLECULAR GENETIC MARKERS, FOLLOWED BY CLASSIFICATION OR PREDICTION UTILIZING FEATURES CREATED FROM THESE ASSOCIATION RULES
The disclosure relates to the use of one or more association rule mining algorithms to mine data sets containing features created from at least one plant or animal-based molecular genetic marker, find association rules and utilize features created from these association rules for classification or prediction.
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