Entity Resolution Techniques

This lecture covers entity resolution techniques, including dealing with duplicate entities, name/attribute ambiguity, data deduplication, and similarity metrics like edit distance and Jaccard similarity. It also explains duplicate elimination with clustering, possible repairs, and the computational cost of duplicate detection. The use of blocking techniques, q-gram set join, and string similarity to q-gram similarity are discussed, along with examples of standard blocking and q-gram set join in action. The lecture concludes with insights on scaling out similarity joins, data transformations, data accuracy, and recommended reading materials.