Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39683
Title: PC-Filter: A robust filtering technique for duplicate record detection in large databases
Authors: Zhang, J.
Ling, T.W. 
Bruckner, R.M.
Liu, H.
Issue Date: 2004
Source: Zhang, J.,Ling, T.W.,Bruckner, R.M.,Liu, H. (2004). PC-Filter: A robust filtering technique for duplicate record detection in large databases. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3180 : 486-496. ScholarBank@NUS Repository.
Abstract: In this paper, we will propose PC-Filter (PC stands for Partition Comparison), a robust data filter for approximately duplicate record detection in large databases. PC-Filter distinguishes itself from all of existing methods by using the notion of partition in duplicate detection. It first sorts the whole database and splits the sorted database into a number of record partitions. The Partition Comparison Graph (PCG) is then constructed by performing fast partition pruning. Finally, duplicate records are effectively detected by using internal and external partition comparison based on PCG. Four properties, used as heuristics, have been devised to achieve a remarkable efficiency of the filter based on triangle inequity of record similarity. PC-Filter is insensitive to the key used to sort the database, and can achieve a very good recall level that is comparable to that of the pair-wise record comparison method but only with a complexity of O(N4/3). Equipping existing detection methods with PC-Filter, we are able to well solve the "Key Selection" problem, the "Scope Specification" problem and the "Low Recall" problem that the existing methods suffer from. © Springer-Verlag Berlin Heidelberg 2004.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/39683
ISSN: 03029743
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

58
checked on Dec 8, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.