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Global Detection of Complex Copying Relationships Between Sources

Summary: Global detection algorithm uncovers direct copying by jointly handling co-copying and transitive relationships across sources. Direction inference via multi-evidence signals and cross-item correlation; scalable and accurate on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10071
Venue
VLDB
Year
2010
Pagerank
5.6967761e-05
Overall Rank
5,095 | 64.60%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
906 Fusing Data with Correlations 2014 SIGMOD 0.00015420344
1,214 Truth Finding on the Deep Web: Is the Problem Solved? 2013 VLDB 0.00013246179
2,422 From Data Fusion to Knowledge Fusion 2014 VLDB 8.8452901e-05
2,682 Online Data Fusion 2011 VLDB 8.3166884e-05
2,830 Interaction between Record Matching and Data Repairing 2011 SIGMOD 8.0515409e-05
3,502 Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources 2015 VLDB 7.0333e-05
4,247 Local Similarity Search for Unstructured Text 2016 SIGMOD 6.3180334e-05
5,565 Determining the Currency of Data 2011 PODS 5.4298528e-05
7,547 SOLOMON: Seeking the Truth Via Copying Detection 2010 VLDB 4.7093124e-05
11,236 Learning and Deducing Temporal Orders 2023 VLDB 4.1905499e-05
11,778 Staging User Feedback toward Rapid Conflict Resolution in Data Fusion 2017 SIGMOD 4.1905499e-05
11,807 Truth Discovery for Spatio-Temporal Events from Crowdsourced Data 2017 VLDB 4.1905499e-05
12,186 Large-Scale Copy Detection 2011 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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