Duplicate detection is about finding multiple representatives of the same real-world entity within a datset. This task is difficult, because representations might differ slightly, so some similarity measure must be defined to compare pairs of records. Another difficulty is the the high volume, datasets might have, making a pair-wise comparison of all records infeasible.
In this seminar, we want to discuss several papers, covering different aspects of duplicate detecion.
