Rubén Pérez Chacón

Rubén Pérez Chacón

Ph.D. student

Citations and socials

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Prof. Rubén Pérez Chacón, is a Computer Science Engineer (Pablo de Olavide University, 2011), Master Degree in Information Security (Autonomous University of Barcelona, 2014) and PhD. student in the Big Data and Data Science lab since 2015. He is Assistant Professor in the area of Languages and Information Systems of Pablo de Olavide University.

With more than 5 years of experience in the private sector in some IT roles as software developer (J2EE, PHP or PL/SQL) and pentesting, it is worth mentioning the research experience using distributed technologies such as Apache Spark and the development of algorithms in programming languages such as Scala, Java o R.

The research lines of Prof. Rubén Pérez Chacón focus on data mining and machine learning, with direct application in the prediction of Big time series of Data. He is the author or co-author of 3 publications in impact journals according to JCR (two in Q1 and one Q2) and member of the program committee in numerous international conferences.

Publications

2020

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model Journal Article

Big Data, 8 (4), pp. 308-322, 2020.

Abstract | Links | BibTeX

R. Pérez-Chacón and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand Journal Article

Information Sciences, 540 , pp. 160-174, 2020.

Abstract | Links | BibTeX

2019

R. Talavera-Llames and R. Pérez-Chacón and A. Troncoso and F. Martínez-Álvarez

MV-kWNN: A novel multivariate and multi-output weighted nearest neighbors algorithm for big data time series forecasting Journal Article

Neurocomputing, 353 , pp. 56-73, 2019.

Abstract | Links | BibTeX

2018

R. Talavera-Llames and R. Pérez-Chacón and A. Troncoso and F. Martínez-Álvarez

Big data time series forecasting based on nearest neighbors distributed computing with Spark Journal Article

Knowledge-Based Systems, 161 (1), pp. 12-25, 2018.

Abstract | Links | BibTeX

R. Pérez-Chacón and J. M. Luna and A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme

Big data analytics for discovering electricity consumption patterns in smart cities Journal Article

Energies, 11 (3), pp. 683, 2018.

Abstract | Links | BibTeX

2016

R. Talavera-Llames and R. Pérez-Chacón and M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez

A Nearest Neighbours - Based Algorithm for Big Time Series Data Forecasting Conference

HAIS 11th International Conference on Hybrid Artificial Intelligence Systems, Lecture Note in Computer Science 2016.

Links | BibTeX

R. Pérez-Chacón and R. Talavera-Llames and F. Martínez-Álvarez and A. Troncoso

Finding Electric Energy Consumption Patterns in Big Time Series Data Conference

DCAI 13th International Conference on Distributed Computing and Artificial Intelligence, Advances in Intelligent Systems and Computing 2016.

Links | BibTeX