Artículos (Lenguajes y Sistemas Informáticos): Envíos recientes
Mostrando ítems 21-40 de 760
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Energy Saving Policies in Grid Computing and Smart Environments
(IOS Press, 2014)This work studies the problem of energy consumption growth in two spheres: Grid-Computing and Smart Environments. These ...
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Feature models to boost the vulnerability management process
(Elsevier Inc., 2023-01)Vulnerability management is a critical and very challenging process that allows organisations to design a procedure to ...
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ELI: an IoT-aware big data pipeline with data curation and data quality
(PeerJ, 2023)The complexity of analysing data from IoT sensors requires the use of Big Data technologies, posing challenges such as ...
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Statistical validation of synthetic data for lung cancer patients generated by using generative adversarial networks
(MDPI, 2022)The development of healthcare patient digital twins in combination with machine learning technologies helps doctors in ...
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Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
(SprigerLink, 2023-06-28)Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ...
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An empirical study to evaluate the impact of mindfulness on helpdesk employees
(ScienceDirect, 2023)Purpose: Mindfulness is a meditation technique whose main goal involves maintaining a calm mind and training attention by ...
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A new approach based on association rules to add explainability to time series forecasting models
(ScienceDirect, 2023)Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information ...
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Editorial: web and database technologies in business solutions
(Inderscience, 2004) -
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XI Jornadas de Ingeniería del Software y Bases de Datos, JISBD’2006
(IEEE, 2007-07)La presente edición de IEEE América Latina corresponde con una selección de los mejores trabajos presentados en la undécima ...
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Presentación: Minería de Datos
(Asociación Española para la Inteligencia Artificial, 2006)La Minería de Datos ha experimentado en los últimos años una notable explosión de interés tanto en ámbitos académicos ...
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Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems
(ScienceDirect, 2019-08-11)This paper explores widely the data preparation stage within the process of knowledge discovery and data mining via feature ...
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Projection-based measure for efficient feature selection
(IOS Press, 2002-12-01)The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...
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Método de inducción de reglas de clasificación oblicuas mediante un algoritmo evolutivo
(Universidad Autónoma de Bucaramanga, 2002-06-01)En este artículo presentamos un nuevo método, de nominado OBLIC, para inducción de reglas de clasificación oblicuas no ...
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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 ...
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Finding Defective Software Modules by Means of Data Mining Techniques
(IEEE, 2009-07)The characterization of defective modules in software engineering remains a challenge. In this work, we use data mining ...
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Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
(Springer, 2020)This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a ...
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Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
(ScienceDirect, 2021-08-18)Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ...
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Data Mining for the Management of Software Development Process
(World Scientific Publishing Company, 2004)In this paper we present a new method for the application of data mining tools on the management phase of software development ...
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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 ...
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Analysis of environmental thresholds for runoff and erosion through qualitative reasoning methods
(WITPress, 2001)Qualitative reasoning methods have proven useful to extract qualitative information from quantitative data in a wide ...