JOSE IGNACIO
MARTIN ARAMBURU
PROFESORADO TITULAR DE UNIVERSIDAD
IBAI
GURRUTXAGA GOIKOETXEA
PROFESORADO AGREGADO
Publications by the researcher in collaboration with IBAI GURRUTXAGA GOIKOETXEA (13)
2011
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Towards a standard methodology to evaluate internal cluster validity indices
Pattern Recognition Letters, Vol. 32, Núm. 3, pp. 505-515
2010
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Consolidated trees versus bagging when explanation is required
Computing (Vienna/New York), Vol. 89, Núm. 3-4, pp. 113-145
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Obtaining optimal class distribution for decision trees: Comparative analysis of CTC and C4.5
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index
Pattern Recognition, Vol. 43, Núm. 10, pp. 3364-3373
2009
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SIHC: A STABLE INCREMENTAL HIERARCHICAL CLUSTERING ALGORITHM
ICEIS 2009 : PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS
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SIHC: A stable incremental hierarchical clustering algorithm
ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings
2008
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Evaluation of Malware clustering based on its dynamic behaviour
Conferences in Research and Practice in Information Technology Series, Vol. 87, pp. 163-170
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Service-independent payload analysis to improve intrusion detection in network traffic
Conferences in Research and Practice in Information Technology Series, Vol. 87, pp. 171-178
2007
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CTC: An alternative to extract explanation from bagging
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Combining multiple class distribution modified subsamples in a single tree
Pattern Recognition Letters, Vol. 28, Núm. 4, pp. 414-422
2006
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Consolidated trees: An analysis of structural convergence
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2005
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Consolidated tree classifier learning in a car Insurance fraud detection domain with class imbalance
Lecture Notes in Computer Science
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Consolidated trees: Classifiers with stable explanation. A model to achieve the desired stability in explanation
Lecture Notes in Computer Science