A hybrid approach to address normalization

Author

Wong, Wing Shing ; Chuah, Mooi Choo

Author_Institution

Chinese Univ. of Hong Kong, Shatin, Hong Kong

Volume

9

Issue

6

fYear

1994

Firstpage

38

Lastpage

45

Abstract

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.<>

Keywords

analogue simulation; database management systems; feature extraction; learning (artificial intelligence); neural net architecture; word processing; address dictionary; address normalization; analog neural network systems; dictionary creation updating; hybrid approach; intelligent system; learning; mailing addresses; multiple database merging; neural network architectures; scoring system; system parameters training; Cities and towns; Counting circuits; Databases; Dictionaries; Ear; Learning systems; Neural networks; Training data; Velocity measurement;

fLanguage

English

Journal_Title

IEEE Expert

Publisher

ieee

ISSN

0885-9000

Type

jour

DOI

10.1109/64.363266

Filename

363266