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Keywords

Data mining and knowledge discovery, Frequent subgraph mining, Representative patterns, Graph matching, Supervised classification, Deep learning and data mining, Machine learning, Pattern recognition, Graph theory, Data structures

Countries

Cuba, Spain

Biography

PhD. Niusvel Acosta-Mendoza is graduated of Computational Science Engineering from University of Informatics Sciences (UCI) of Havana, Cuba, in 2007. During his student period he was an assistant lecturer in the Programming Department, where he taught several undergraduate courses from 2003 to 2007. In addition, he taught several undergraduate courses in UCI since 2007 until 2009. In October 2009, he received the Main Category of Professor Instructor in the same university. He is member of the Cuban Society of Mathematics and Computation and the Cuban Association of Pattern Recognition since 2009, and is member of the Union of Cuban Informatics, since October 2015.
In 2013, he obtained the MSc. degree in Computational Sciences at Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) of Mexico.
In 2018, he obtained the PhD. degree in Computational Sciences at INAOE of Mexico.
Currently, he is working as "Researcher" at the Data Mining Department of the Advanced Technologies Application Center (CENATAV) of Cuba.

Activities

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Employment (2)

Advanced Technologies Application Center (CENATAV): Siboney, Playa, Havana, CU

2009-08-26 to present | Researcher (Data Mining)
Employment
Source: Self-asserted source
Niusvel Acosta-Mendoza

University of Informatics Sciences (UCI): Havana, Havana, CU

2007-09-01 to 2009-08-01 | Professor (Computational Sciences)
Employment
Source: Self-asserted source
Niusvel Acosta-Mendoza

Education and qualifications (3)

Instituto Nacional de Astrofísica Óptica y Electrónica: Puebla, Puebla, MX

2014-01-01 to 2018 | PhD. (Computational Sciences)
Education
Source: Self-asserted source
Niusvel Acosta-Mendoza

Instituto Nacional de Astrofísica Óptica y Electrónica: Puebla, Puebla, MX

2012-08-08 to 2013-07-17 | MSc. (Computational Sciencies)
Education
Source: Self-asserted source
Niusvel Acosta-Mendoza

University of Informatics Sciences (UCI): Havana, Havana, CU

2002-09-01 to 2007-07-17 | Engineering (Computational Science)
Education
Source: Self-asserted source
Niusvel Acosta-Mendoza

Works (27)

Mining clique frequent approximate subgraphs from multi-graph collections

Applied Intelligence
2020-03-19 | Journal article
DOI: 10.1007/s10489-019-01564-8
Contributors: Niusvel Acosta-Mendoza; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; Andrés Gago-Alonso; José Eladio Medina-Pagola
Source: check_circle
Crossref

Mining Generalized Closed Patterns from Multi-graph Collections

2018 | Book chapter
DOI: 10.1007/978-3-319-75193-1_2
Contributors: Niusvel Acosta-Mendoza; Andrés Gago-Alonso; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; José Eladio Medina-Pagola
Source: check_circle
Crossref

Extension of Canonical Adjacency Matrices for Frequent Approximate Subgraph Mining on Multi-graph Collections.

International Journal of Pattern Recognition and Artificial Intelligence
2017 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

Minería de subgrafos frecuentes aproximados cerrados en colecciones de multi-grafo.

CENATAV - DATYS
2017-07 | Report
Source: Self-asserted source
Niusvel Acosta-Mendoza

A new algorithm for approximate pattern mining in multi-graph collections.

Knowledge-Based Systems
2016 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

Improving Graph-Based Image Classification by using Emerging Patterns as Attributes.

Engineering Applications of Artificial Intelligence
2016 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

Detección de grupos conversacionales en escenas de video-protección con aglomeraciones de personas.

The XIV National Congress on Pattern Recognition (RECPAT'2016)
2016-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

A Framework for Intrusion Detection based on Frequent Subgraph Mining.

The 2nd SDM Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge (SDM-Networks 2015). In conjunction with 2015 SIAM international Conference on Data Mining (SDM15)
2015 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

A Nectar of Frequent Approximate Subgraph Mining for Image Classification.

Cuban Journal of Informatics Sciences (RCCI)
2015 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

A New Method Based on Graph Transformation for FAS Mining in Multi-graph Collections.

The 7th Mexican Conference on Pattern Recognition (MCPR'2015)
2015 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

Minería de subgrafos frecuentes aproximados para multi-grafos basada en transformaciones.

The XIII National Congress on Pattern Recognition (RECPAT'2015)
2015-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

Representative Frequent Approximate Subgraph Mining in Multi-Graph Collections.

Instituto Nacional de Astrofísica, Óptica y Electrónica
2015-07 | Report
Source: Self-asserted source
Niusvel Acosta-Mendoza

A New Proposal for Graph-Based Image Classification using Frequent Approximate Subgraphs.

Pattern Recognition
2014 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

El impacto de la selección de patrones en la clasificación de imágenes basada en minería de subgrafos frecuentes aproximados.

he XII National Congress on Pattern Recognition (RECPAT'2014)
2014 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

Learning to Assemble Classifiers via Genetic Programming.

International Journal of Pattern Recognition and Artificial Intelligence
2014 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

Representative Pattern Mining in Graph Collections.

Research in Computing Science
2014 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

La minería de subgrafos frecuentes aproximados para la clasificación de imágenes.

CENATAV - DATYS
2014-07 | Report
Source: Self-asserted source
Niusvel Acosta-Mendoza

A New proposal for Graph Classification using Frequent Geometric Subgraphs.

Data & Knowledge Engineering
2013 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

Feature Space Reduction for Graph-Based Image Classification.

The 18th Iberoamerican Congress on Pattern Recognition (CIARP'2013)
2013-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

Genetic Programming of Heterogeneous Ensembles for Classification.

The 18th Iberoamerican Congress on Pattern Recognition (CIARP'2013)
2013-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

Clasificación de imágenes utilizando minería de subgrafos frecuentes aproximados.

Cuban Journal of Informatics Sciences (RCCI)
2012 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

Frequent Approximate Subgraphs as Features for Graph-based Image Classification.

Knowledge-Based Systems
2012 | Journal article
Source: Self-asserted source
Niusvel Acosta-Mendoza

Image Classification using Frequent Approximate Subgraphs.

The 17th Iberoamerican Congress on Pattern Recognition (CIARP'2012)
2012-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

La minería de subgrafos frecuentes aproximados

The X National Congress on Pattern Recognition (RECPAT'2012)
2012-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

On Speeding up Frequent Approximate Subgraph Mining.

The 17th Iberoamerican Congress on Pattern Recognition (CIARP'2012)
2012-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

Mejora para la minería de subgrafos frecuentes aproximados mediante la reducción del espacio de búsqueda

The IX National Congress on Pattern Recognition (RECPAT'2011)
2011-11 | Conference paper
Source: Self-asserted source
Niusvel Acosta-Mendoza

Minería de subgrafos frecuentes utilizando cotejo inexacto de grafos.

CENATAV - DATYS
2011-07 | Report
Source: Self-asserted source
Niusvel Acosta-Mendoza
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