Raudel Hernández-León

Proceedings of the Advances in Computational Intelligence, 2023

2022

FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review.

[BibT_eX]

[DOI]

Martín Letras

ACM Comput. Surv., 2022

A fast instance reduction algorithm for intrusion detection scenarios.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2022

2021

A multi-measure feature selection algorithm for efficacious intrusion detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

2020

On the design of hardware architectures for parallel frequent itemsets mining.

[BibT_eX]

[DOI]

Martín Letras

Expert Syst. Appl., 2020

2019

A novel multi-core algorithm for frequent itemsets mining in data streams.

[BibT_eX]

[DOI]

Alfredo Muñoz-Briseño

Pattern Recognit. Lett., 2019

Using hashing and lexicographic order for Frequent Itemsets Mining on data streams.

[BibT_eX]

[DOI]

Mauro Martín Letras Luna

J. Parallel Distributed Comput., 2019

2018

On the design of hardware-software architectures for frequent itemsets mining on data streams.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2018

A data reduction strategy and its application on scan and backscatter detection using rule-based classifiers.

[BibT_eX]

[DOI]

Osvaldo Andrés Pérez-García

Christian Doerr

Expert Syst. Appl., 2018

2017

Classification rule-based models for malicious activity detection.

[BibT_eX]

[DOI]

Osvaldo Andrés Pérez-García

Andrés Gago Alonso

Intell. Data Anal., 2017

Approximate frequent itemsets mining on data streams using hashing and lexicographie order in hardware.

[BibT_eX]

[DOI]

Mauro Martín Letras Luna

Proceedings of the 8th IEEE Latin American Symposium on Circuits & Systems, 2017

A Novel Hybrid Data Reduction Strategy and Its Application to Intrusion Detection.

[BibT_eX]

[DOI]

Osvaldo Andrés Pérez-García

Andrés Gago Alonso

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

SPaC-NF: A classifier based on sequential patterns with high netconf.

[BibT_eX]

[DOI]

Intell. Data Anal., 2016

Hardware Architectures for Frequent Itemset Mining Based on Equivalence Classes Partitioning.

[BibT_eX]

[DOI]

Martín Letras

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Frequent Itemsets Mining in Data Streams Using Reconfigurable Hardware.

[BibT_eX]

[DOI]

Lázaro Bustio

Claudia Feregrino

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Improving the Accuracy of CAR-based Classifiers by Combining Netconf Measure and Dynamic -K Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Improving the Accuracy of the Sequential Patterns-Based Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

SPaR-FTR: An Efficient Algorithm for Mining Sequential Patterns-Based Rules.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

Hardware Acceleration of Frequent Itemsets Mining on Data Streams.

[BibT_eX]

[DOI]

René Cumplido-Parra

Res. Comput. Sci., 2014

Combining hybrid rule ordering strategies based on netconf and a novel satisfaction mechanism for CAR-based classifiers.

[BibT_eX]

[DOI]

Intell. Data Anal., 2014

Studying Netconf in Hybrid Rule Ordering Strategies for Associative Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

SPaMi-FTS: An Efficient Algorithm for Mining Frequent Sequential Patterns.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013

Dynamic K: A Novel Satisfaction Mechanism for CAR-Based Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012

CAR-NF: A classifier based on specific rules with high netconf.

[BibT_eX]

[DOI]

Intell. Data Anal., 2012

Classification based on specific rules and inexact coverage.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

CAR-NF + : An Improved Version of CAR-NF Classifier.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2010

Algorithms for mining frequent itemsets in static and dynamic datasets.

[BibT_eX]

[DOI]

Intell. Data Anal., 2010

Classifying Using Specific Rules with High Confidence.

[BibT_eX]

[DOI]

Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010

2008

A Compressed Vertical Binary Algorithm for Mining Frequent Patterns.

[BibT_eX]

[DOI]

José Eladio Medina-Pagola

Abdel Hechavarría Díaz

Proceedings of the Data Mining: Foundations and Practice, 2008

A Novel Incremental Algorithm for Frequent Itemsets Mining in Dynamic Datasets.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2008

2007

Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules.

[BibT_eX]

[DOI]

O. Fraxedas Tormo

J. Festón Cárdenas

José Eladio Medina-Pagola

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2005

Similarity Measures in Documents Using Association Graphs.

[BibT_eX]

[DOI]

Ernesto Guevara Martínez

Abdel Hechavarría Díaz