Matching Heterogeneous Event Data

  title={Matching Heterogeneous Event Data},
  author={Yu Gao and Shaoxu Song and Xiaochen Zhu and Jianmin Wang and Xiang Lian and Lei Zou},
  journal={IEEE Transactions on Knowledge and Data Engineering},
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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