The Arizona IDMatcher: developing an identity matching tool for law enforcement
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Identity matching using personal and social identity features
Information Systems Frontiers
Exploiting evidence from unstructured data to enhance master data management
Proceedings of the VLDB Endowment
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Identity Resolution is a semantic reconciliation activity as applied to people and organizations. Identity resolution is most frequently quantified in terms of accuracy (false positives and false negatives), however, there are additional metrics by which to evaluate identity resolution algorithms including: methodology, persistence, streaming versus batch, data survivorship, operationalizing historical data, transaction/window size, ingestion speed, end-to-end latency, sequence neutrality, handling of ambiguous conditions, reconcilability, scalability, sustainability, and operational characteristics at scale. As well, a technique for "analytics in the anonymized data space" will be presented that makes it possible to resolve identities in a more privacy-preserving manner.