Finding Explanations for Assisting Pattern Interpretation

@article{Kuo2008FindingEF,
  title={Finding Explanations for Assisting Pattern Interpretation},
  author={Yen-Ting Kuo and Liz Sonenberg and Andrew Lonie},
  journal={2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology},
  year={2008},
  volume={1},
  pages={48-51}
}
We present a novel approach for assisting pattern interpretation by data mining end-users: finding explanations for association rules based on probabilistic dependencies. In the approach, relevant variables are selected from rules and from other data sources to facilitate human-understandable interpretations. An explanation of a rule involves consideration of observable variables in the data and alignment with the conditional probability of the rule. To build explanations involving multiple… CONTINUE READING

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