Title :
A hybrid approach to address normalization
Author :
Wong, Wing Shing ; Chuah, Mooi Choo
Author_Institution :
Chinese Univ. of Hong Kong, Shatin, Hong Kong
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;
Journal_Title :
IEEE Expert
