Dedoop: Efficient deduplication with hadoop

Proceedings of the VLDB Endowment

Volumn 5, Issue 12, 2012, Pages 1878-1881

  Kolb, Lars ^a   Thor, Andreas ^a   Rahm, Erhard ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC GENERATION; BASED SPECIFICATION; DE DUPLICATIONS; ENTITY RESOLUTIONS; LARGE DATASETS; LOAD BALANCING STRATEGY; MAP-REDUCE; PARALLEL EXECUTIONS;

LEARNING SYSTEMS;

EID: 84872977079     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/2367502.2367527     Document Type: Article

References (6)

1. Dedoop. http://dbs.uni-leipzig.de/dedoop.
2. Baxter, Christen, and Churches. A Comparison of Fast Blocking Methods for Record Linkage. In Workshop Data Cleaning, Record Linkage, and Object Consolidation, pages 25-27, 2003.
3. Kolb, Thor, and Rahm. Load Balancing for MapReduce-based Entity Resolution. In ICDE, pages 618-629, 2012.
4. Kolb, Thor, and Rahm. Multi-pass Sorted Neighborhood Blocking with MapReduce. CSRD, 27(1):45-63, 2012.
5. Köpcke and Rahm. Frameworks for Entity Matching: A Comparison. Data Knowl. Eng., 69(2):197-210, 2010.
6. Köpcke, Thor, and Rahm. Evaluation of Entity Resolution Approaches on real-world Match Problems. PVLDB, 3(1):484-493, 2010.