| A survey of link prediction in complex networks V Martínez, F Berzal, JC Cubero ACM computing surveys (CSUR) 49 (4), 1-33, 2016 | 785 | 2016 |
| Evaluation metrics for unsupervised learning algorithms JO Palacio-Niño, F Berzal arXiv preprint arXiv:1905.05667, 2019 | 232 | 2019 |
| 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 | 221 | 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 | 177 | 2001 |
| Desarrollo profesional de aplicaciones web con ASP.NET F Berzal, JC Cubero, FJ Cortijo Independently published, 2007 | 150* | 2007 |
| Redes Neuronales & Deep Learning F Berzal ISBN 1731265387 (b&n), 1731314337 (color), 2018 | 113 | 2018 |
| 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 | 93 | 2007 |
| A new framework to assess association rules F Berzal, I Blanco, D Sánchez, MA Vila Advances in Intelligent Data Analysis: 4th International Conference, IDA …, 2001 | 90 | 2001 |
| Building multi-way decision trees with numerical attributes F Berzal, JC Cubero, N Marın, D Sánchez Information Sciences 165 (1-2), 73-90, 2004 | 82 | 2004 |
| ART: A hybrid classification model F Berzal, JC Cubero, D Sánchez, JM Serrano Machine Learning 54, 67-92, 2004 | 81 | 2004 |
| 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 | 58 | 2003 |
| Adaptive degree penalization for link prediction V Martínez, F Berzal, JC Cubero Journal of Computational Science 13, 1-9, 2016 | 56 | 2016 |
| Frequent tree pattern mining: A survey A Jiménez, F Berzal, JC Cubero Intelligent Data Analysis 14 (6), 603-622, 2010 | 40 | 2010 |
| El ciclo de vida de un sistema de información F Berzal elvex.ugr.es, 2004 | 40 | 2004 |
| 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 | 35 | 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 | 35 | 2007 |
| Técnicas de minería de datos: Asociación, clasificación, agrupamiento F Berzal https://elvex.ugr.es/idbis/dm/, 2017 | 34* | 2017 |
| 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 | 33 | 2005 |
| Data mining: concepts and techniques by Jiawei Han and Micheline Kamber F Berzal, N Marín ACM Sigmod Record 31 (2), 66-68, 2002 | 31 | 2002 |
| Component-based data mining frameworks F Berzal, I Blanco, JC Cubero, N Marin Communications of the ACM 45 (12), 97-100, 2002 | 29 | 2002 |
Juan-Carlos CuberoProfessor of Computer Science, University of Granadadecsai.ugr.es üzerinde doğrulanmış e-posta adresine sahip