Listar Capítulos (Lenguajes y Sistemas Informáticos) por título
Mostrando ítems 64-83 de 127
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Ponencia
Improving NDT with Automatic Test Case Generation
(Springer, 2013)The model-driven development defi nes the software development process as a set of iterations to create models and a set ...
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Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection
(Springer, 2011)This paper introduces a methodology that improves the accuracy of a two-stage algorithm in evolutionary product unit ...
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Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach
(Springer, 2014)This work presents an evolutionary approach to modify the voting system of the k-Nearest Neighbours (kNN). The main novelty ...
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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 ...
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Incremental rule learning based on example nearness from numerical data streams
(2005)Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper ...
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Inferring Gene-Gene Associations from Quantitative Association Rules
(IEEE, 2011)The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The ...
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Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
(2003)This paper presents a study of the influence of the accuracy of hourly load forecasting on the energy planning and operation ...
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Inter-Parameter Dependencies in Real-World Web APIs: The IDEA Dataset
(Auerbach Publications, 2021)Context: Web services often impose constraints that restrict the way in which two or more input parameters can be combined ...
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Introductory Chapter: An Overview to the Internet of Things
(IntechOpen, 2023-02-08) -
Capítulo de Libro
Label Dependent Evolutionary Feature Weighting for Remote Sensing Data
(2010)Nearest neighbour (NN) is a very common classifier used to develop important remote sensing products like land use and ...
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LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series
(2008)A new approach is presented in this work with the aim of predicting time series behaviors. A previous labeling of the ...
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Learning Decision Rules by Means of Hybrid-Encoded Evolutionary Algorithms
(Springer, 2005)This paper describes an approach based on evolutionary algorithms, HIDER ( erarchical cision ules), for learning rules in ...
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Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE)
(Springer, 2008)Genetic and genomic approaches have been used successfully to assign genes to distinct regulatory networks, but the ...
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Ponencia
Measuring the Quality of Model-Driven Projects with NDT-Quality
(Springer, 2009)Model-driven web engineering (MDWE) is a new paradigm which provides satisfactory results in the development of web ...
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Capítulo de Libro
Mechanism for the Systematic Generation of Functional Tests of Smart Contracts in Digital Publication Management Systems
(IGI GLOBAL, 2024)The application of state-of-the-art technologies in functional fields is complex and offers a significant challenge to ...
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Ponencia
Metamodeling the Requirements of Web Systems
(Springer, 2007)A detailed requirements analysis is best practice in the development of traditional software. Conversely, the importance ...
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Capítulo de Libro
Metrics for use cases: a survey of current proposals
(Imperial College Press, 2005) -
Capítulo de Libro
Mining interesting regions using an evolutionary algorithm
(2002)In this paper, we offer a new method to induce interesting knowledge from the relevant sets of data in databases for ...
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Mining Low Dimensionality Data Streams of Continuous Attributes
(2003)This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, ...