A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments

@inproceedings{Atramentov2003AMD,
  title={A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments},
  author={Anna Atramentov and Hector Leiva and Vasant Honavar},
  booktitle={ILP},
  year={2003}
}
We describe an efficient implementation (MRDTL-2) of the Multi-relational decision tree learning (MRDTL) algorithm [23] which in turn was based on a proposal by Knobbe et al. [19] We describe some simple techniques for speeding up the calculation of sufficient statistics for decision trees and related hypothesis classes from multi-relational data. Because missing values are fairly common in many real-world applications of data mining, our implementation also includes some simple techniques for… CONTINUE READING
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A multi-relational decision tree learning algorithm

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Data-Driven Discovery of Rules for Protein Function Classification Based on Sequence Motifs

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