Please use this identifier to cite or link to this item:
Title: Field Similarity Algorithm
Authors: Yang, Q.X.
Yuan, S.S. 
Zhao, L.
Peng, S.
Issue Date: 2002
Citation: Yang, Q.X.,Yuan, S.S.,Luchun,Zhao, L.,Peng, S. (2002). Field Similarity Algorithm. Proceedings of the Joint Conference on Information Sciences 6 : 432-436. ScholarBank@NUS Repository.
Abstract: The introduction of a new algorithm, Moving Contracting Window Pattern Algorithm (MCWPA), to calculate Field Similarity was discussed. The algorithm overcame some drawbacks that existed in the previous algorithm of the Field Similarity. In the previous algorithm, the adoption of word as basic unit resulted in its inability to distinguish between two exactly same fields and two fields with the same words in different sequences. MCWPA used the character as the unit in order to improve the accuracy. In terms of false detection, MCWPA performed much better than the previous algorithm.
Source Title: Proceedings of the Joint Conference on Information Sciences
ISBN: 0970789017
Appears in Collections:Staff Publications

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

Page view(s)

checked on May 22, 2019

Google ScholarTM



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