On Distributed Fuzzy Decision Trees for Big Data

@article{Segatori2018OnDF,
  title={On Distributed Fuzzy Decision Trees for Big Data},
  author={Armando Segatori and Francesco Marcelloni and Witold Pedrycz},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2018},
  volume={26},
  pages={174-192}
}
Fuzzy decision trees (FDTs) have shown to be an effective solution in the framework of fuzzy classification. The approaches proposed so far to FDT learning, however, have generally neglected time and space requirements. In this paper, we propose a distributed FDT learning scheme shaped according to the MapReduce programming model for generating both binary and multiway FDTs from big data. The scheme relies on a novel distributed fuzzy discretizer that generates a strong fuzzy partition for each… CONTINUE READING

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