Documentos de Esteban José Palomo | REDI

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Mostrando 7 resultados de: 7

Filtros aplicados

Palabras Claves: "data clustering"

Subtipo de publicación

Conference Object(6)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)

Neural Networks(1)

Studies in Computational Intelligence(1)

Área temáticas

Ciencias de la computación(5)

Métodos informáticos especiales(3)

Física aplicada(1)

Química y ciencias afines(1)

Área de conocimiento

Ciencias de la computación(7)

Aprendizaje automático(4)

Minería de datos(1)

Red informática(1)

Simulación por computadora(1)

Año de Publicación

Origen

Palabras Claves

Self-Organization(3)

Data visualisation(2)

Hierarchical self-organization(2)

Network forensics(2)

hierarchical self-organisation(2)

Application of growing hierarchical SOM for visualisation of network forensics traffic data

Abstract: Digital investigation methods are becoming more and more important due to the proliferation of digit

Palabras claves:

data clustering, Data visualisation, Feature Extraction, hierarchical self-organisation, Network forensics

Elizondo D., Esteban José Palomo, Luque-Baena R.M., North J., Watson T.

Hierarchical graphs for data clustering

Conference Object

Abstract: The self-organizing map (SOM) has been used in multiple areas and constitutes an excellent tool for

Palabras claves:

data clustering, Graph-based representation, hierarchical clustering, Intrusion Detection Systems, Self-Organization

Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.

Hierarchical self-organizing networks for multispectral data visualization

Conference Object

Abstract: Image segmentation is a typical task in the field of image processing. There is a great number of im

Palabras claves:

data clustering, hierarchical self-organizing maps, Multispectral data, Self-Organization

Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.

Lossy image compression using a GHSOM

Conference Object

Abstract: A new approach for image compression based on the GHSOM model has been proposed in this paper. The S

Palabras claves:

data clustering, image compression, Self-Organization

Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.

Image hierarchical segmentation based on a GHSOM

Conference Object

Abstract: A novel approach for image segmentation is proposed in this paper. This approach is based on the gro

Palabras claves:

background modeling, data clustering, Hierarchical self-organization, segmentation

Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.

SOM-based techniques towards hierarchical visualisation of network forensics traffic data

Conference Object

Abstract: Current research is improving the quality and efficiency of digital investigation methods due to the

Palabras claves:

data clustering, Data visualisation, hierarchical self-organisation, Network forensics

Domínguez E., Elizondo D., Esteban José Palomo, Luque-Baena R.M., Watson T.

Spam detection based on a hierarchical self-organizing map

Conference Object

Abstract: The GHSOM is an artificial neural network that has been widely used for data clustering. The hierarc

Palabras claves:

data clustering, Hierarchical self-organization, Spam detection

Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.