Matching heterogeneous event data

@inproceedings{Zhu2014MatchingHE,
  title={Matching heterogeneous event data},
  author={Xiaochen Zhu and Shaoxu Song and Xiang Lian and Jianmin Wang and Lei Zou},
  booktitle={SIGMOD Conference},
  year={2014}
}
Identifying duplicate events are essential to various business process applications such as provenance querying or process mining. Distinct features of heterogeneous events including opaque names, dislocated traces and composite events, prevent existing data integration from techniques performing well. To address these issues, in this paper, we propose an event similarity function by iteratively evaluating similar neighbors. We prove the convergence of iterative similarity computation, and… CONTINUE READING
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