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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.

Citation:
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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