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Mostrando ítems 31-40 de 65
Capítulo de Libro
Data streams classification by incremental rule learning with parameterized generalization
(2006)
Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper describes a classification system based on decision rules that may store up--to--date border ...
Capítulo de Libro
Fast Feature Selection by Means of Projections
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm ...
Capítulo de Libro
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production
(2003)
In this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy production is presented. The equations that define the problem lead to a nonlinear mixed-integer ...
Capítulo de Libro
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
(2009)
This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model. When real-world time series are forecasted, there exist ...
Capítulo de Libro
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion
(Springer, 2012)
Light Detection and Ranging (LIDAR) has become a very important tool to many environmental applications. This work proposes to use LIDAR and image data fusion to develop high-resolution thematic maps. A novel methodology ...
Capítulo de Libro
Multidimensional Data Visual Exploration by Interactive Information Segments
(2004)
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information from high dimensionality, very large databases. ...
Capítulo de Libro
Analysis of Measures of Quantitative Association Rules
(Springer, 2011)
This paper presents the analysis of relationships among different interestingness measures of quality of association rules as first step to select the best objectives in order to develop a multi-objective algorithm. For ...
Capítulo de Libro
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines
(2007)
Breast cancer is one of the diseases causing the largest number of deaths among women. Its early detection has been proved to be the most effective way to combat it. This work is focused on developing an integral tool able ...
Capítulo de Libro
Discovering decision rules from numerical data streams
(2004)
This paper presents a scalable learning algorithm to classify numerical, low dimensionality, high-cardinality, time-changing data streams. Our approach, named SCALLOP, provides a set of decision rules on demand which ...
Capítulo de Libro
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification
(2010)
Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. The newest techniques have been applied to improve the final LULC classification and most of them ...