Parallel Discrepancy Detection and Incremental Detection
Summary: Parallel discrepancy detection for duplicates, mismatches, and conflicts via ML-embed rules, unifying ER and conflict handling. Parallel and incremental algorithms offer scalability; NP-hard, W[1]-hard; bounded incremental; validated on real/synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenfei Fan
- 2. Chao Tian
- 3. Yanghao Wang
- 4. Qiang Yin
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