Darian H. Grass-Boada

GRAPH/NETWORK REDUCTION BASED ON COMMUNICABILITY VERTEX SIMILARITY

Darian H. Grass-Boada, Rodrigo de la Nuez, Ernesto Estrada

Graph reduction aims to generate smaller graph datasets while retaining essential structural and dynamical features of the original networks. We propose a reduction technique that merges pairs of similar vertices using measures based on communicability cosine distance, which has been proven effective …

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Trace alignment algorithm optimization

Leandro González-Montesino, Darian H. Grass-Boada

Abstract Process Mining is a computational discipline aimed at discovering, monitoring, and improving processes. In the business sector, it integrates artificial intelligence and data mining to uncover trends, patterns, and insights within classified data systems. The Trace Alignment algorithm is a key …

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Community detection in networks: A rough sets and consensus clustering approach

Darian H. Grass-Boada, Leandro González-Montesino, Rubén Armañanzas

The objective of this paper is to propose a framework, called Rough Clustering-based Consensus Community Detection (RC-CCD), to effectively address the challenge of identifying community structures in complex networks from a set of different community partitions. The method uses a consensus approach …

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Personality Assessment with AI: Scientific Validation of a Model Based on Natural Language Processing

Beatriz Abad-Villaverde, Juan Manuel Tuñas Martín, Darian H. Grass-Boada, Martı́n Martı́nez et autres

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Community Detection in Networks: A Rough Sets and Consensus Clustering Approach

Darian H. Grass-Boada, Leandro González-Montesino, Rubén Armañanzas

The objective of this paper is to propose a framework, called Rough Clustering-based Consensus Community Detection (RC-CCD), to effectively address the challenge of identifying community structures in complex networks from a set of different community partitions. The method uses a consensus approach …

Community Detection in Networks: A Rough Sets and Consensus Clustering Approach

Darian H. Grass-Boada, Leandro Gonzalez Montesino, Rubén Armañanzas

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Network Community Detection in Connectomics Data using Graph Theory

Leandro González-Montesino, Darian H. Grass-Boada, Rubén Armañanzas

This work presents a comprehensive descriptive analysis of a complex network derived from individual neuronal reconstructions from the vinegar fly (Drosophila melanogaster) using graph theory. The primary aim was to establish an informed criterion for selecting the most suitable community detection algorithm …

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Overlapping Community Detection Using Multi-objective Approach and Rough Clustering

Darian H. Grass-Boada, Airel Pérez‐Suárez, Leticia Arco, Rafael Bello et autres

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Multiobjective Overlapping Community Detection Algorithms Using Granular Computing

Darian H. Grass-Boada, Airel Pérez‐Suárez, Rafael Bello, Alejandro Rosete Suárez

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Multi-objective Overlapping Community Detection by Global and Local Approaches

Darian H. Grass-Boada, Airel Pérez‐Suárez, Andrés Gago-Alonso, Rafael Bello et autres

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Extending the Pareto-Dominance Based MOEAs Framework for Overlapping Community Detection

Darian H. Grass-Boada, Airel Pérez‐Suárez, Rafael Bello, Alejandro Rosete Suárez

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Web Usage Mining Applied to Records of Navigation by Internet

Darian H. Grass-Boada, Alejandro Rosete Suárez, Jesús Eladio Sánchez García, Valia Guerra Ones

This paper presents a Knowledge Discovery on Databases (KDD) process applied on the internetsurfing logs at the University of Informatics Sciences. In this context, it describes a Web-UsageMining process using as data sources; the internet surfing logs stored by the proxy server, …

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