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Fig. 1 | Big Data Analytics

Fig. 1

From: Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments

Fig. 1

MapReduce. MapReduce schema of both BD-EFEP and EvAEFP-Spark algorithms. From left to rigth, the driver runs the evolutionary process until the evaluation of the individuals, where a MapReduce job is triggered. Next, the driver sends the population to each worker node within the map phase, where a contingency table is calculated for each individual with respect to the data in that worker. Finally, the reduce phase joins all these tables to obtain the final contingency table of each individual

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