| Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology | 0 | 0.34 | 2021 |
| Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering. | 0 | 0.34 | 2019 |
| An approach to validity indices for clustering techniques in Big Data. | 1 | 0.36 | 2018 |
| An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. | 3 | 0.40 | 2016 |
| A Preliminary Study Of The Suitability Of Deep Learning To Improve Lidar-Derived Biomass Estimation | 1 | 0.38 | 2016 |
| Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks. | 0 | 0.34 | 2016 |
| Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach | 1 | 0.35 | 2014 |
| Evolutionary feature selection to estimate forest stand variables using LiDAR. | 3 | 0.41 | 2014 |
| Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición). | 0 | 0.34 | 2009 |
| Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production | 2 | 0.47 | 2008 |
| Data streams classification by incremental rule learning with parameterized generalization | 7 | 0.58 | 2006 |
| A Comparison Of Effort Estimation Methods For 4gl Programs: Experiences With Statistics And Data Mining | 2 | 0.50 | 2006 |
| XI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2006), Octubre 3-6, 2006, Sitges, Barcelona, Spain | 54 | 11.19 | 2006 |
| Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules | 0 | 0.34 | 2005 |
| Incremental Rule Learning and Border Examples Selection from Numerical Data Streams | 23 | 1.24 | 2005 |
| Applying Data Mining to Software Development Projects: A Case Study | 0 | 0.34 | 2004 |
| Practical Application of KDD Techniques to an Industrial Process | 0 | 0.34 | 2004 |
| Data Mining For The Management Of Software Development Process | 5 | 0.49 | 2004 |
| Databases Reduction | 0 | 0.34 | 2004 |
| Finding representative patterns with ordered projections | 42 | 1.23 | 2003 |
| Minería de Textos y Datos aplicadas a la Extracción de Conocimiento a partir de Mensajes de Correo Electronico | 0 | 0.34 | 2003 |
| Supervised learning by means of accuracy-aware evolutionary algorithms | 3 | 0.46 | 2003 |
| A Data Mining Method to Support Decision Making in Software Development Projects | 2 | 0.38 | 2003 |
| Mining Low Dimensionality Data Streams of Continuous Attributes | 1 | 0.39 | 2003 |
| Visualization Techniques of Management Rules for Software Development Projects | 0 | 0.34 | 2003 |
| Reduccion de Bases de Datos | 0 | 0.34 | 2003 |
| Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production | 4 | 0.71 | 2003 |
| Fast Feature Ranking Algorithm | 4 | 0.61 | 2003 |
| Visualización de Consultas mediante Segementación de Dimensiones Significativas | 0 | 0.34 | 2002 |
| Una comparativa de métodos para la estimación del esfuerzo en programmas 4GL: experiencias con Estadística y Minería de Datos | 0 | 0.34 | 2002 |
| Indexación de Datos para la Evaluación Rápida de Reglas de Decisión | 0 | 0.34 | 2002 |
| SOAP: Efficient Feature Selection of Numeric Attributes | 6 | 0.51 | 2002 |
| Is it Possible to Find a Pattern of k for the Nearest Neighbor? | 0 | 0.34 | 2002 |
| Mining interesting regions using an evolutionary algorithm | 2 | 0.43 | 2002 |
| Advances in Artificial Intelligence - IBERAMIA 2002, 8th Ibero-American Conference on AI, Seville, Spain, November 12-15, 2002, Proceedings | 92 | 6.32 | 2002 |
| Algoritmo de Aprendizaje de Reglas de Decisión a partir de Flujos de Datos Transaccionales | 0 | 0.34 | 2002 |
| Técnicas de Visualización de Reglas de Gestión para Proyectos de Desarrollo Software | 0 | 0.34 | 2002 |
| Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours | 4 | 0.69 | 2002 |
| Natural Evolutionary Coding: An Application to Estimating Software Development Projects | 3 | 0.43 | 2002 |
| Generation of Management Rules through System Dynamics and Evolutionary Computation | 1 | 0.36 | 2002 |
| Método de Inducción de Reglas de Clasificación Oblicuas Mediante un Algoritmo Evolutivo | 0 | 0.34 | 2002 |
| Discretization by Maximal Global Goodness | 0 | 0.34 | 2002 |
| An evolutionary algorithm to discover numeric association rules | 27 | 1.09 | 2002 |
| Orientando a Aspectos la captura de datos de Internet para activar Reglas de Decisión en Agentes Web | 0 | 0.34 | 2001 |
| SEGESOFT: Entorno de Entrenamiento para la Gestión de Proyectos Software | 0 | 0.34 | 2001 |
| Non-parametric Nearest Neighbor with Local Adaptation | 1 | 0.41 | 2001 |
| Improvements in the Decision Making in Software Projects | 1 | 0.38 | 2001 |
| Separation Surfaces through Genetic Programming | 0 | 0.34 | 2001 |
| CGO3: An oblique classification system using an evolutionary algorithm and C4.5 | 0 | 0.34 | 2001 |
| OBLIC: Classification System Using Evolutionary Algorithm | 1 | 0.36 | 2001 |
