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Tomas Aluja
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Cited by
Year
La minería de datos, entre la estadística y la inteligencia artificial
T Aluja Banet
Institut d'Estadística de Catalunya, 2001
1322001
Aprender de los Datos: El Análsis de Componentes Principales
AM Tomàs Aluja Banet
Ediciones Universitarias de Barcelona, 1999
131*1999
Toward the definition of a structural equation model of patent value: PLS path modelling with formative constructs
A Martinez-Ruiz, T Aluja-Banet
REVSTAT–Statistical Journal 7 (3), 265-290, 2009
682009
Analyse en composantes principales (avec illustrations SPAD)
A Morineau, T Aluja-Banet
CISIA-CERESTA, 1998
451998
Intelligent assistance for data pre-processing
B Bilalli, A Abelló, T Aluja-Banet, R Wrembel
Computer Standards & Interfaces 57, 101-109, 2018
442018
On the predictive power of meta-features in OpenML
B Bilalli, A Abelló Gamazo, T Aluja Banet
International Journal of Applied Mathematics and Computer Science 27 (4 …, 2017
442017
Knowledge discovery with clustering based on rules. Interpreting results
K Gibert, T Aluja, U Cortés
European Symposium on Principles of Data Mining and Knowledge Discovery, 83-92, 1998
391998
Competencias profesionales del grado en ingeniería informática
F Sánchez, MR Sancho, P Botella, J García, T Aluja, J Navarro, ...
Actas de las XIV Jornadas de Enseñanza Universitaria de Informàtica, JENUI …, 2008
352008
Local and partial principal component analysis (PCA) and correspondence analysis (CA)
TA Banet, L Lebart
Compstat 1984, 113-118, 1984
331984
GRAFT, a complete system for data fusion
T Aluja-Banet, J Daunis-i-Estadella, D Pellicer
Computational statistics & Data analysis 52 (2), 635-649, 2007
322007
Pathmox: a PLS-PM segmentation algorithm
G Sánchez, T Aluja
Proceedings of KNEMO 69, 2006
312006
Optimal representation of supplementary variables in biplots from principal component analysis and correspondence analysis
J Graffelman, T Aluja‐Banet
Biometrical Journal: Journal of Mathematical Methods in Biosciences 45 (4 …, 2003
312003
Measuring Motivation from the Virtual Learning Environment in Secondary Education
MRSIV Tomas Aluja-Banet
Journal of Computational Science, 2017
28*2017
PATHMOX approach: Segmentation Trees in Partial Least Squares path Modeling
GS Trujillo
Universitat Politecnica de Catalunya - Barcelona Tech, 2009
282009
Towards Intelligent Data Analysis: The Metadata Challenge.
B Bilalli, A Abelló, T Aluja-Banet, R Wrembel
IoTBD, 331-338, 2016
242016
The Pathmox approach for PLS path modeling segmentation
G Lamberti, TB Aluja, G Sanchez
Applied Stochastic Models in Business and Industry 32 (4), 453-468, 2016
222016
PRESISTANT: Learning based assistant for data pre-processing
B Bilalli, A Abelló, T Aluja-Banet, R Wrembel
Data & Knowledge Engineering 123, 101727, 2019
192019
Stability and scalability in decision trees
T Aluja-Banet, E Nafria
Computational Statistics 18 (3), 505-520, 2003
182003
Handling missing values in kernel methods with application to microbiology data
TA Lluís A. Belanche, Vladimer Kobayashi
Neurocomputing 141, 110-116, 2014
162014
A simulation study of PATHMOX (PLS path modeling segmentation tree) sensitivity
G Sánchez, T Aluja
5th International Symposium-Causality explored by indirect observation, 2007
152007
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Articles 1–20