Demetrio Gomes Mestre

Orcid: 0000-0003-4727-3340

According to our database1, Demetrio Gomes Mestre authored at least 20 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Efficient Map-Matching Parallelization over Bus Trajectories Using Spark.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

2020
Exploiting block co-occurrence to control block sizes for entity resolution.
Knowl. Inf. Syst., 2020

Estimating record linkage costs in distributed environments.
J. Parallel Distributed Comput., 2020

2019
BIGSEA: A Big Data analytics platform for public transportation information.
Future Gener. Comput. Syst., 2019

An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management.
IEEE Access, 2019

A Parallel-based Map Matching Approach over Urban Place Records.
Proceedings of the 34th Brazilian Symposium on Databases, 2019

A noise tolerant and schema-agnostic blocking technique for entity resolution.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018
Estimating Inefficiency in Bus Trip Choices From a User Perspective With Schedule, Positioning, and Ticketing Data.
IEEE Trans. Intell. Transp. Syst., 2018

Heuristic-based approaches for speeding up incremental record linkage.
J. Syst. Softw., 2018

Blind attribute pairing for privacy-preserving record linkage.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
An efficient spark-based adaptive windowing for entity matching.
J. Syst. Softw., 2017

Towards the efficient parallelization of multi-pass adaptive blocking for entity matching.
J. Parallel Distributed Comput., 2017

Towards Reliable Data Analyses for Smart Cities.
Proceedings of the 21st International Database Engineering & Applications Symposium, 2017

2016
Applying machine learning techniques for scaling out data quality algorithms in cloud computing environments.
Appl. Intell., 2016

2015
A data quality-aware cloud service based on metaheuristic and machine learning provisioning algorithms.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Adaptive sorted neighborhood blocking for entity matching with MapReduce.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs.
Proceedings of the Big-Data Analytics and Cloud Computing, 2015

2014
Efficient Entity Matching over Multiple Data Sources with MapReduce.
J. Inf. Data Manag., 2014

2013
Efficient Entity Maching over Multiple Data Sources with MapReduce.
Proceedings of the XXVIII Simpósio Brasileiro de Banco de Dados - Short Papers, Recife, Pernambuco, Brasil, September 30, 2013

Improving load balancing for MapReduce-based entity matching.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013


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