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Listar por palabra clave "Data quality"

Mostrando ítems 1-20 de 26

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A survey on pre-processing techniques: Relevant issues in the context of environmental data mining

Gibert, Karina; Sanchez-Marre, Miquel; Izquierdo Sebastián, Joaquín (IOS Press, 2016)

One of the important issues related with all types of data analysis, either statistical data analysis, machine learning, data mining, data science or whatever form of data-driven modeling, is data quality. The more complex ...
An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management

Fiore, Sandro; Elia, Donatello; Pires, Carlos E.; Mestre, Demetrio Gomes; Cappiello, Cinzia; Vitali, Monica; Andrade, Nazareno; Braz, Tarciso; Lezzi, Daniele; Moraes, Regina; Basso, Tania; Kozievitch, Nadia P.; Ono Fonseca, Keiko Veronica; Antunes, Nuno; Vieira, Marco; Palazzo, Cosimo; Blanquer Espert, Ignacio (Institute of Electrical and Electronics Engineers, 2019)

[EN] Smart urban transportation management can be considered as a multifaceted big data challenge. It strongly relies on the information collected into multiple, widespread, and heterogeneous data sources as well as on the ...
Análisis de Datos Genómicos para la identificación de variantes genómicas relevantes en la enfermedad de Alzheimer

Pascual Fernández, Ignacio José (Universitat Politècnica de València, 2019-10-22)

[ES] Con la mejora de las tecnologías, el desarrollo de sistemas de información biomédicos y la secuenciación del genoma humano, la medicina de precisión se abre paso como la medicina de un futuro próximo. Sin embargo, ...
Caracterización de la variabilidad temporal en bases de datos médicas y estudio de su impacto en modelos predictivos basados en inteligencia artificial

Fernández Narro, David (Universitat Politècnica de València, 2023-09-13)

[ES] La variabilidad temporal en distribuciones de datos biomédicos es uno de los principales problemas hacia una inteligencia artificial basada en aprendizaje automático generalizable. La investigación y toma de decisiones ...
CARACTERIZACIÓN DE LAS MÉTRICAS DE ESTABILIDAD DE FUENTE DE DATOS EN LOS REPOSITORIOS BIOMÉDICOS

Ferri Borredá, Pablo (Universitat Politècnica de València, 2017-07-20)

The degree of homogeneity among data distributions is a critical issue when reusing data integrated from different sources, since the introduction of undesired variabilities may lead to misleading results. Therefore, ...
Construction of quality-assured infant feeding process of care data repositories: definition and design (Part 1)

Garcia De Leon Chocano, Ricardo; Sáez Silvestre, Carlos; Muñoz Soler, Verónica; García de León González, Ricardo; García Gómez, Juan Miguel (Elsevier, 2015-12-01)

This is the first paper of a series of two regarding the construction of data quality (DQ) assured repositories for the reuse of information on infant feeding from birth until two years old. This first paper justifies the ...
Data quality indicators for structured data sets

López-Larrainzar Salazar, Arantzazu (Universitat Politècnica de València, 2023-06-19)

[EN] The technological revolution in which this society is immersed is generating an everincreasing amount of data, with enormous potential value, which can only be useful if it is converted and transformed into information ...
Desarrollo de un módulo del estándar XES para el análisis de datos y estudio comparativo de distintas aplicaciones basadas en minería de procesos en un contexto clínico

Bulnes Caicoya, Samuel José (Universitat Politècnica de València, 2024-10-08)

[ES] Según la OMS, la población mundial cada vez está más envejecida, sufriendo de más enfermedades crónicas, lo que aumenta considerablemente el gasto por paciente, y hace tambalear la sostenibilidad de los sistemas de ...
Diseño de un sistema de aprendizaje basado en proyectos en Ciencia de Datos Biomédicos utilizando los datos abiertos MIMIC-III

Alcalá Pérez, Luis (Universitat Politècnica de València, 2020-10-06)

[ES] Las asignaturas Sistemas de Información y Telemedicina y Data Quality and Interoperability del Grado y Máster en Ingeniería Biomédica de la Universitat Politècnica de València, España, abordan los resultados de ...
EHRtemporalVariability: delineating temporal data-set shifts in electronic health records

Sáez Silvestre, Carlos; Gutiérrez-Sacristán, Alba; Kohane, Isaac; Garcia-Gomez, Juan M; Avillach, Paul (Oxford University Press, 2020-07-30)

[EN] Background: Temporal variability in health-care processes or protocols is intrinsic to medicine. Such variability can potentially introduce dataset shifts, a data quality issue when reusing electronic health records ...
Evaluación de la calidad del dato en procesos de ingesta de datos por streaming

Iniesta Blasco, Gonzalo (Universitat Politècnica de València, 2024-10-23)

[ES] El dato se ha convertido en uno de los principales activos para las empresas. Este hecho ha llevado a que las empresas cada vez produzcan y almacenen más datos, pero también intenten explotarlos, dando lugar a un ...
Industrial Data Services for Quality Control in Smart Manufacturing - the i4Q Framework

Karakostas, Anastasios; Poler, R.; Fraile Gil, Francisco; Vrochidis, Stefanos (IEEE, 2021-06-09)

[EN] This paper presents a new innovative framework to support smart manufacturing quality assurance. More specifically, the i4Q framework provides an IoT-based Reliable Industrial Data Services (RIDS), a complete suite ...
Is Google Trends a quality data source?

Cebrián, Eduardo; Domenech, Josep (Taylor & Francis, 2023)

[EN] Google Trends (GT) has become a popular data source among researchers in a wide variety of fields. In economics, its main use has been to forecast other economic variables such as tourism demand, unemployment or sales. ...
Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds

Sáez, Carlos; Garcia-Gomez, Juan M (Elsevier, 2018)

[EN] Aim: The increasing availability of Big Biomedical Data is leading to large research data samples collected over long periods of time. We propose the analysis of the kinematics of data probability distributions over ...
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications

Souza, Júlio; Caballero, Ismael; Vasco Santos, Joao; Lobo, Mariana; Pinto, Andreia; Viana,Joao; Sáez Silvestre, Carlos; Lopes, Fernando; Freitas, Alberto (Elsevier, 2022-12)

[EN] Background: Unexpected variability across healthcare datasets may indicate data quality issues and thereby affect the credibility of these data for reutilization. No gold-standard reference dataset or methods for ...
Performance Evaluation of Fault Detection Methods for Wastewater Treatment Processes

Corominas, Lluís; Villez, Kris; Aguado García, Daniel; Rieger, Leiv; Rosén, Christian; Vanrolleghem, Peter A. (Wiley-Blackwell, 2011-02)

Several methods to detect faults have been developed in various fields, mainly in chemical and process engineering. However, minimal practical guidelines exist for their selection and application. This work presents an ...
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset

Sáez Silvestre, Carlos; Romero, Nekane; Conejero, J. Alberto; Garcia-Gomez, Juan M (Oxford University Press, 2021-02)

[EN] Objective: The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source ...
Preventing Data Quality Issues with Data Contracts: A Proactive Solution

Kostova, Vanya (Editorial Universitat Politècnica de València, 2023-09-22)

[EN] Data quality is a critical aspect of data product management and a major challenge in the field of data engineering. It refers to the availability, accuracy, completeness, and consistency of data, which are essential ...
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality

Sáez Silvestre, Carlos; Pereira Rodrigues, Pedro; Gama, João; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Springer Verlag (Germany), 2014-09-02)

Knowledge discovery on biomedical data can be based on on-line, data-stream analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in the processes that generate data or in their quality ...
Probabilistic methods for multi-source and temporal biomedical data quality assessment

Sáez Silvestre, Carlos (Editorial Universitat Politècnica de València, 2016-04-05)

[EN] Nowadays, biomedical research and decision making depend to a great extent on the data stored in information systems. As a consequence, a lack of data quality (DQ) may lead to suboptimal decisions, or hinder the derived ...