Matching Heterogeneous Event Data
Summary: Heterogeneous events with opaque names, dislocated traces, and composite events disrupt data integration. Iterative event-similarity with convergence proof, pruning, and estimation, yields upper bounds for composite events and outperforms baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Xiaochen Zhu
- 2. Shaoxu Song
- 3. Xiang Lian
- 4. Jianmin Wang
- 5. Lei Zou
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,256 | Effective and Efficient Retrieval of Structured Entities | 2020 | VLDB | 4.7869419e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 916 | On Schema Matching with Opaque Column Names and Data Values | 2003 | SIGMOD | 0.00015379422 |
| 6,533 | Labeling Workflow Views with Fine-Grained Dependencies | 2012 | VLDB | 5.0245193e-05 |
| 6,923 | A Generic solution for Warehousing Business Process Data | 2007 | VLDB | 4.8925595e-05 |
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