Detecting Data Accuracy Issues in Textual Geographical Data by a Clustering-based Approach

Author:

Pellegrino Maria Angela1,Postiglione Luca1,Scarano Vittorio1

Affiliation:

1. Università degli Studi di Salerno, Italy

Publisher

ACM

Reference45 articles.

1. Dimensions and assessment methods of data quality in health information systems;Alipour Jahanpour;Acta Medica Mediterranea,2017

2. Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems

3. Methodologies for data quality assessment and improvement

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2. Aggregating community maps;Proceedings of the 30th International Conference on Advances in Geographic Information Systems;2022-11

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4. Detecting Quality Problems in Data Models by Clustering Heterogeneous Data Values;2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2021-10

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