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A hybrid approach to address normalization

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2 Author(s)
Wing Shing Wong ; Chinese Univ. of Hong Kong, Shatin, Hong Kong ; Mooi Choo Chuah

Accuracy is critical when multiple databases are merged into a single system, because an error in a single record could lead to multiple mismatches. Address normalization is fairly common in database merging. We have developed a system to accurately and efficiently normalize mailing addresses. However, our system differs from other neural network architectures. Its key ingredients are an address dictionary and a scoring system. The scoring system is based on analog neural network systems, but the address dictionary follows a digital approach. The two key processes in our system are learning and address normalization. Learning is further split into dictionary creation updating and system parameters training.<>

Published in:

IEEE Expert  (Volume:9 ,  Issue: 6 )

Date of Publication:

Dec. 1994

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