Title
Author
Year
Volume
:
2024
Vol. 1
no. 1
Vol. 2
2023
Vol. 1
no. 1
no. 2
2022
Vol. 1
no. 1
2021
Vol. 1
no. 1
2019
Vol. 1
no. 1
no. 2
2013
Vol. 1
no. 1
Vol. 2
no. 1
2011
Vol. 1
no. 1
Vol. 2
no. 1
2010
Vol. 1
no. 1
no. 2
Vol. 2
Vol. 0
Vol. 1
A Role based Address Cleaner
Pages
:
61-67
Md. Abul Bashar, Md. Mashiur Rahman, Abdullah Al Rahed, Md. Misbahul Alam Chowdhury, Md. Pervez Sajjad
About 80% to 90% of governmental and business datacollections contain address information. In many cases, address records arecaptured and/or stored in a free-form or inconsistent manner. There are manycauses to dirty data: misuse of abbreviations, data entry mistakes, controlinformation hiding, missing fields, spelling, outdated codes etc. Due to the`garbage in, garbage out' principle, dirty data will distort informationobtained from it. The purpose of address cleaning is to maximize the valueof address data and ensure that every address is spelt correctly andproperly structured. This improves accuracy and standardization in mailing,boosts company image, reduces mailing costs, and through geocoding opens upa number of opportunities to support strategic decisions through accuratespatial analysis. We report the implementation of a role based addresscleaner. In this address cleaner we define indicators and grammars foraddress cleaning and thus make the cleaning process configurable.
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