A Novel Method for Validating Addresses Using String Distance Metrics


  • Dr. H. P. Ghongade Department of Computer Engineering, Brahma Valley College of Engineering and Research Institute, Nashik, India https://orcid.org/0000-0001-6840-3904
  • Dr. A. A. Bhadre Department of Mechanical Engineering, Brahma Valley College of Engineering and Research Institute, Nashik, India




Address Validation, Address Matching, Natural Language Processing, Geocoding


Address validation is vital since it confirms the quality and geographical precision of addresses used by organizations that rely on location-dependent and delivery-based services. Suppose addresses need to be thoroughly checked in advance. In that case, there may be difficulties with them, such as missing components or geographical defi-ciencies, which may lead to severe problems with logistics. When doing address valida-tion, discovering missing or incorrect address components is a beneficial aspect in mini-mizing the likelihood of service problems while saving time and money for organiza-tions. When it comes to addressing validation, using statistical metrics like correlation coefficients and measures of central tendency has been discovered to have a significant amount of untapped potential. In order to obtain a normalized score that is based on statistical similarities, the approach that is suggested in this study makes use of a mix-ture of several string-matching metrics. This score may then be used to exclude authen-ticated addresses based on the needed minimum level of similarity, which can be calcu-lated. Experiments have been carried out on a healthcare dataset taken from the actual world to show the efficacy of the suggested method in terms of accuracy and precision.


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How to Cite

D. G. Harshvardhan Prabhakar Ghongade and Dr. A. A. Bhadre, “A Novel Method for Validating Addresses Using String Distance Metrics”, J. Mech. Constr. Eng., vol. 3, no. 2, pp. 1–9, Nov. 2023.




Research Article