HARRA: fast iterative hashed record linkage for large-scale data collections

@inproceedings{Kim2010HARRAFI,
  title={HARRA: fast iterative hashed record linkage for large-scale data collections},
  author={Hung-sik Kim and Dongwon Lee},
  booktitle={EDBT},
  year={2010}
}
We study the performance issue of the "iterative" record linkage (RL) problem, where match and merge operations may occur together in iterations until convergence emerges. We first propose the Iterative Locality-Sensitive Hashing (ILSH) that dynamically merges LSH-based has tables for quick and accurate blocking. Then, by exploiting inherent characteristics within/across data sets, we develop a suite of I-LSH-based RL algorithms, named as HARRA (<u>HA</u>shed <u>R</u>eco<u>R</u>d link<u>A</u>ge… CONTINUE READING
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