Decision Tables: Scalable Classification Exploring RDBMS Capabilities

@inproceedings{Lu2000DecisionTS,
  title={Decision Tables: Scalable Classification Exploring RDBMS Capabilities},
  author={Hongjun Lu and Hongyan Liu},
  booktitle={VLDB},
  year={2000}
}
In this paper, we report our success in building efficient scalable classifiers in the form of decision tables by exploring capabilities of modern relational database management systems. In addition to high classification accuracy, the unique features of the approach include its high training speed, linear scalability, and simplicity in implementation. More importantly, the major computation required in the approach can be implemented using standard functions provided by the modern relational… CONTINUE READING
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