A survey of link prediction in complex networks V Martínez, F Berzal, JC Cubero ACM computing surveys (CSUR) 49 (4), 1-33, 2016 | 291 | 2016 |
Measuring the accuracy and interest of association rules: A new framework F Berzal, I Blanco, D Sánchez, MA Vila Intelligent Data Analysis 6 (3), 221-235, 2002 | 178 | 2002 |
TBAR: An efficient method for association rule mining in relational databases F Berzal, JC Cubero, N Marı́n, JM Serrano Data & Knowledge Engineering 37 (1), 47-64, 2001 | 163 | 2001 |
Desarrollo profesional de aplicaciones web con Asp. net F Berzal, JC Cubero, FJ Cortijo iKor Consulting, 2007 | 79 | 2007 |
An alternative approach to discover gradual dependencies F Berzal, JC Cubero, D Sánchez, MA Vila, JM Serrano International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2007 | 74 | 2007 |
Art: A hybrid classification model F Berzal, JC Cubero, D Sánchez, JM Serrano Machine Learning 54 (1), 67-92, 2004 | 73 | 2004 |
Building multi-way decision trees with numerical attributes F Berzal, JC Cubero, N Marın, D Sánchez Information Sciences 165 (1-2), 73-90, 2004 | 68 | 2004 |
A new framework to assess association rules F Berzal, I Blanco, D Sánchez, MA Vila International Symposium on Intelligent Data Analysis, 95-104, 2001 | 61 | 2001 |
On the quest for easy-to-understand splitting rules F Berzal, JC Cubero, F Cuenca, MJ Martın-Bautista Data & Knowledge Engineering 44 (1), 31-48, 2003 | 51 | 2003 |
A definition for fuzzy approximate dependencies F Berzal, I Blanco, D Sanchez, JM Serrano, MA Vila Fuzzy Sets and Systems 149 (1), 105-129, 2005 | 34 | 2005 |
Managing fuzziness on conventional object‐oriented platforms F Berzal, N Marín, O Pons, MA Vila International Journal of Intelligent Systems 22 (7), 781-803, 2007 | 32 | 2007 |
A general framework for computing with words in object-oriented programming F Berzal, JC Cubero, N Marín, MA Vila, J Kacprzyk, S Zadrożny International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2007 | 32 | 2007 |
El ciclo de vida de un sistema de información F Berzal Recuperado de, 2004 | 31 | 2004 |
Component-based data mining frameworks F Berzal, I Blanco, JC Cubero, N Marin Communications of the ACM 45 (12), 97-100, 2002 | 27 | 2002 |
Relational decomposition through partial functional dependencies F Berzal, JC Cubero, F Cuenca, JM Medina Data & Knowledge Engineering 43 (2), 207-234, 2002 | 27 | 2002 |
Frequent tree pattern mining: A survey A Jiménez, F Berzal, JC Cubero Intelligent Data Analysis 14 (6), 603-622, 2010 | 26 | 2010 |
Adaptive degree penalization for link prediction V Martínez, F Berzal, JC Cubero Journal of Computational Science 13, 1-9, 2016 | 21 | 2016 |
A language specification tool for model-based parsing L Quesada, F Berzal, JC Cubero International Conference on Intelligent Data Engineering and Automated …, 2011 | 19 | 2011 |
Evaluation metrics for unsupervised learning algorithms JO Palacio-Niño, F Berzal arXiv preprint arXiv:1905.05667, 2019 | 18 | 2019 |
The design and use of the TMiner component-based data mining framework F Berzal, JC Cubero, A Jiménez Expert Systems with Applications 36 (4), 7882-7887, 2009 | 18 | 2009 |