Record Distance Function
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A Record Distance Function is a Similarity Function that can compare the similarity between two or more Data Records.
- AKA: Data Record Distance Function, Data Record Similarity Function, Record Similarity Function
- Context:
- It can be a Learned Distance Function.
- See: Clustering.
References
2005
- (Bilenko et al., 2005) ⇒ Mikhail Bilenko, Sugato Basu, and Mehran Sahami. (2005). “Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping.” In: Proceedings of the 5th IEEE International Conference on Data Mining (ICDM-2005).