Name
Abstract | ||
|---|---|---|
•The first study of the data repairing problem for jointly resolving inconsistencies and conflicts.•An iterative algorithm to jointly infer the source reliability degrees and the repaired result under DCs.•Two scalable strategies for the iterative algorithm by optimal grouping entities and pruning candidate values, respectively.•Experimental results clearly demonstrate that the proposed method outperforms both constraint-based data repairing and conflict resolution baselines. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2019.08.044 | Information Sciences |
Keywords | Field | DocType |
Data repairing,Conflict resolution,Denial constraints | Multi source data,Iterative method,Conflict resolution,Denial,Data integrity,Artificial intelligence,Optimization problem,Machine learning,Mathematics,Distributed computing,Scalability | Journal |
Volume | ISSN | Citations |
507 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Ye | 1 | 8 | 4.16 |
| Hongzhi Wang | 2 | 421 | 73.72 |
| Kangjie Zheng | 3 | 0 | 0.34 |
| Jing Gao | 4 | 2723 | 131.05 |
| Jianzhong Li | 5 | 3196 | 304.46 |