Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40759
Title: Field Similarity Algorithm
Authors: Yang, Q.X.
Yuan, S.S. 
Luchun
Zhao, L.
Peng, S.
Issue Date: 2002
Source: 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
URI: http://scholarbank.nus.edu.sg/handle/10635/40759
ISBN: 0970789017
Appears in Collections:Staff Publications

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