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A Hybrid Approach to Address Normalization
December 1994 (vol. 9 no. 6)
pp. 38-45

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.

Wing Shing Wong, Mooi Choo Chuah, "A Hybrid Approach to Address Normalization," IEEE Intelligent Systems, vol. 9, no. 6, pp. 38-45, Dec. 1994, doi:10.1109/64.363266
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