Abstract: Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively.
The Duplicate Count strategy (DCS) is based on the Sorted. Neighborhood Method (SNM) and varies the window size based on the number of identified duplicates.
Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, re- spectively. This task is ...
Abstract: The presence of duplicate records is a major data quality concern in large databases. To detect duplicates, entity resolution also known as ...
This work proposes with the Duplicate Count Strategy (DCS) a variation of SNM that uses a varying window size, based on the intuition that there might be ...
Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively.
Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively.
Adaptive Windows for Duplicate Detection
Book by Felix Naumann
Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively. ... Google Books
Originally published: 2012
Authors: Felix Naumann and Uwe Draisbach
Dec 21, 2015 · Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, ...
Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively.
Adaptive Windows for Duplicate Detection . U Draisbach , F Naumann , S Szott , O Wonneberg . Proceedings of IEEE 28th International Conference on Data ...