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Authors: Eduardo N. Borges ; Rafael F. Pinheiro and Graçaliz P. Dimuro

Affiliation: Universidade Federal do Rio Grande - FURG, Brazil

ISBN: 978-989-758-247-9

Keyword(s): Deduplication, Similarity, Mobile, Classification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Coupling and Integrating Heterogeneous Data Sources ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: This paper presents a method that identifies duplicate contacts, i.e., records representing the same person or organization, automatically collected from multiple data sources. Contacts are compared using similarity functions, which scores are combined by a classification model based on decision trees, avoiding the need for an expert to manually configure similarity thresholds. The experiments show that the proposed method identified correctly up to 92% of duplicate contacts.

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Paper citation in several formats:
Borges, Eduardo N.; Pinheiro, R. and Dimuro, G. (2017). Contact Deduplication in Mobile Devices using Textual Similarity and Machine Learning.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 64-72. DOI: 10.5220/0006275100640072

@conference{iceis17,
author={Borges, Eduardo N. and Rafael F. Pinheiro. and Gra\c{C}aliz P. Dimuro.},
title={Contact Deduplication in Mobile Devices using Textual Similarity and Machine Learning},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={64-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006275100640072},
isbn={978-989-758-247-9},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Contact Deduplication in Mobile Devices using Textual Similarity and Machine Learning
SN - 978-989-758-247-9
AU - Borges, Eduardo N.
AU - Pinheiro, R.
AU - Dimuro, G.
PY - 2017
SP - 64
EP - 72
DO - 10.5220/0006275100640072

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