loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Affiliation: Universidade Federal do Rio Grande - FURG, Brazil

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.238.135.30

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Borges, E.; 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; ISSN 2184-4992, SciTePress, pages 64-72. DOI: 10.5220/0006275100640072

@conference{iceis17,
author={Eduardo N. Borges. 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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Borges, E.
AU - Pinheiro, R.
AU - Dimuro, G.
PY - 2017
SP - 64
EP - 72
DO - 10.5220/0006275100640072
PB - SciTePress