Anderson F. B. F. da Costa

Orcid: 0000-0003-0812-6102

According to our database1, Anderson F. B. F. da Costa authored at least 13 papers between 2010 and 2019.

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

Timeline

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Bibliography

2019
An Experimental Study on Virtual Machine Live Migration Impact on Services Performance.
Comput. Informatics, 2019

2018
VANETs' research over the past decade: overview, credibility, and trends.
Comput. Commun. Rev., 2018

2017
Enabling high-level network programming: A northbound API for Software-Defined Networks.
Proceedings of the 2017 International Conference on Information Networking, 2017

Evaluating live virtual machine migration overhead on client's application perspective.
Proceedings of the 2017 International Conference on Information Networking, 2017

2015
Evaluating performance degradation in NoSQL databases generated by virtualization.
Proceedings of the 2015 Latin American Network Operations and Management Symposium, 2015

Input space versus feature space in kernel-based interval fuzzy C-Means clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
Clustering interval data through kernel-induced feature space.
J. Intell. Inf. Syst., 2013

IP traffic classifiers applied to DiffServ networks.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

2012
Evaluation of performance and scalability of routing protocols for VANETs on the Manhattan Mobility Model.
Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012

2011
Kernel-based fuzzy clustering of interval data.
Proceedings of the FUZZ-IEEE 2011, 2011

A partitioning method for symbolic interval data based on kernelized metric.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A kernel k-means clustering method for symbolic interval data.
Proceedings of the International Joint Conference on Neural Networks, 2010

K-means Clustering for Symbolic Interval Data Based on Aggregated Kernel Functions.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010


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