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Mostrando ítems 41-50 de 86
Artículo
Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes
(Springer, 2007-01-24)
In this article, a set of clustering algorithms based on Fuzzy Logic and Data Mining are applied, allowing to obtain data in the form of linguistic rules and charts about the behaviour of the Tinto and Odiel river estuary ...
Artículo
External clustering validity index based on chi-squared statistical test
(Elsevier, 2019)
Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters so that each group contains objects that are more similar to each other than to objects in other ...
Artículo
OCEAn: Ordinal classification with an ensemble approach
(Elsevier, 2021)
Generally, classification problems catalog instances according to their target variable with out considering the relation among the different labels. However, there are real problems in which the different values of the ...
Artículo
An approach to validity indices for clustering techniques in Big Data
(Springer, 2018)
Clustering analysis is one of the most used Machine Learning techniques to discover groups among data objects. Some clustering methods require the number of clus ters into which the data is going to be partitioned. There ...
Artículo
Local models-based regression trees for very short-term wind speed prediction
(Elsevier, 2015)
This paper evaluates the performance of different types of Regression Trees (RTs) in a real problem of very short-term wind speed prediction from measuring data in wind farms. RT is a solidly established methodology that, ...
Artículo
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
(Springer, 2011)
An evolutionary approach for finding existing relationships among several variables of a multidimensional time series is presented in this work. The proposed model to discover these relationships is based on quantitative ...
Artículo
A Survey on Data Mining Techniques Applied to Energy Time Series Forecasting
(MDPI, 2015)
Data mining has become an essential tool during the last decade to analyze large sets of data. The variety of techniques it includes and the successful results obtained in many application fields, make this family of ...
Artículo
MOMIC: A multi-omics pipeline for data analysis, integration and interpretation
(MDPI, 2022)
Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, offering an unprecedented scenario for deriving meaningful biological knowledge through the ...
Artículo
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks
(Taylor and Francis, 2016)
This paper presents a quality enhancement of the selected features by a hybrid filter-based jointly on feature ranking and feature subset selection (FR-FSS) using a consistency-based measure via merging new features which ...
Artículo
Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques
(Institute of Electrical and Electronics Engineers (IEEE), 2007)
This paper presents a simple technique to forecast next-day electricity market prices based on the weighted nearest neighbors methodology. First, it is explained how the relevant parameters defining the adopted model are ...