Search results for " visualization"

showing 10 items of 160 documents

Visual Data Mining : Real Applications and New Approaches

2014

En los últimos años, la visualización de datos se ha convertido en un área muy activa y vital de la investigación. Es una manera eficaz de analizar grandes cantidades de datos para identificar correlaciones, tendencias, valores extremos, patrones, entre otra mucha información. Los datos sin procesar a menudo carecen de sentido, pero representar dichos datos visualmente ofrece al público un contexto importante para entender la información contenida en ellos. Debido a la importancia de esta área de investigación, y a su novedad, esta tesis se centra en esta temática y pretende descubrir nuevos hallazgos, extraer conclusiones y legar contribuciones relevantes a la comunidad científica en dicho…

:MATEMÁTICAS::Ciencia de los ordenadores::Inteligencia artificial [UNESCO]machine learningData visualization:MATEMÁTICAS::Estadística::Análisis de datos [UNESCO]Data miningUNESCO::MATEMÁTICAS::Estadística::Análisis de datosUNESCO::MATEMÁTICAS::Ciencia de los ordenadores::Inteligencia artificial
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A naive approach to compose aerial images in a mosaic fashion

2002

There is growing interest in multiple sequence image analysis to represent those data in a new landscape, for instance reconstruction of old films, mosaicing of images. This paper focuses attention on the mosaic problem; it introduces a naive method to link together images where a common part of the scene is present among two images. An application has been developed to test the method on aerial sequences of images. Given the long distance of aircraft from the scene, the method assumes images without distortions and without problems of prospective. Moreover, the application does not need any additional parameters coming from human experience and for this reason it can be thought of as a ful…

A naive approach to compose aerial images in a mosaic fashionSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionImage segmentationApplication softwarecomputer.software_genreData visualizationImage representationRobustness (computer science)Computer visionArtificial intelligencebusinesscomputer
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La transformación de DICAT: el potencial de la visualización digital de redes para el teatro clásico español

2021

This paper analyses and proposes the steps to transform Diccionario biográfico de actores del teatro clásico español DICAT in order to be federated on ASODAT system of databases. We intend to assess whether or not the visualization of nets may be a useful and operational tool to analysing the biographical and professional information established between actors and actress of early modern Spanish theater, and to show patterns of social relation. Este artículo analiza y propone los pasos para transformar el Diccionario biográfico de actores del teatro clásico español DICAT para que pueda ser federado en el sistema de bases de datos ASODAT. Se pretende evaluar si la visualización de redes pued…

Actrices050101 languages & linguisticsActressesData Visualization05 social sciencesTeatreVisualización de datosActorsBases de datosBases de dadesTeatro clásico españolClassical TheaterDatabasesOrder (business)Actores0501 psychology and cognitive sciencesSociology0509 other social sciences050904 information & library sciencesHumanitiesTalía. Revista de estudios teatrales
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Longitudinal Study on Sustained Attention to Response Task (SART): Clustering Approach for Mobility and Cognitive Decline

2022

The Sustained Attention to Response Task (SART) is a computer-based go/no-go task to measure neurocognitive function in older adults. However, simplified average features of this complex dataset lead to loss of primary information and fail to express associations between test performance and clinically meaningful outcomes. Here, we combine a novel method to visualise individual trial (raw) information obtained from the SART test in a large population-based study of ageing in Ireland and an automatic clustering technique. We employed a thresholding method, based on the individual trial number of mistakes, to identify poorer SART performances and a fuzzy clusters algorithm to partition the da…

AgingHealth (social science)SART cognition fuzzy clusters mobility decline multimodal visualization repeated measures specificity sustained attention to response task thresholdsustained attention to response task; SART; multimodal visualization; threshold; fuzzy clusters; cognition; repeated measures; mobility decline; specificityGeriatrics and GerontologySettore MAT/07 - Fisica MatematicaGerontologyGeriatrics
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Clustering Quality and Topology Preservation in Fast Learning SOMs

2008

The Self-Organizing Map (SOM) is a popular unsupervised neural network able to provide effective clustering and data visualization for data represented in multidimensional input spaces. In this paper, we describe Fast Learning SOM (FLSOM) which adopts a learning algorithm that improves the performance of the standard SOM with respect to the convergence time in the training phase. We show that FLSOM also improves the quality of the map by providing better clustering quality and topology preservation of multidimensional input data. Several tests have been carried out on different multidimensional datasets, which demonstrate better performances of the algorithm in comparison with the original …

Artificial neural networkbusiness.industryComputer sciencemedia_common.quotation_subjectTopology (electrical circuits)computer.software_genreTopologyData visualizationSOM FLSOM ClusteringComputingMethodologies_PATTERNRECOGNITIONQuality (business)Data miningbusinessCluster analysiscomputermedia_common
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3D Matrix-Based Visualization System of Association Rules

2017

With the growing number of mining datasets, it becomes increasingly difficult to explore interesting rules because of the large number of resultant and its nature complexity. Studies on human perception and intuition show that graphical representation could be a better illustration of how to seek information from the data using the capabilities of human visual system. In this work, we present and implement a 3D matrix-based approach visualization system of association rules. The main visual representation applies the extended matrix-based approach with rule-to-items mapping to general transaction data set. A novel method merging rules and assigning weight is proposed in order to reduce the …

Association rule learningComputer sciencevisualisointi02 engineering and technologycomputer.software_genreMachine learningassociation rulesvisualisationInformation visualizationData visualization0202 electrical engineering electronic engineering information engineeringZoom3D matrixta113business.industry020207 software engineeringdata miningVisualizationHuman visual system modelScalability020201 artificial intelligence & image processingData miningArtificial intelligencetiedonlouhintabusinesscomputerTransaction data2017 IEEE International Conference on Computer and Information Technology (CIT)
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Index-based triangulation method for efficient generation of large three-dimensional ultrasonic C-scans

2018

The demand for high-speed ultrasonic scanning of large and complex components is driven by a desire to reduce production bottlenecks during the non-destructive evaluation (NDE) of critical parts. Emerging systems (including robotic inspection) allow for the collection of large volumes of data in short time spans, compared to existing inspection systems. To maximise throughput, it is crucial that the reconstructed inspection datasets are generated and evaluated rapidly without loss of detail. This requires new data visualisation and analysis tools capable of mapping complex geometries while guaranteeing full coverage. This paper presents an entirely new approach for the visualisation of thre…

C-scansbusiness.industryDelaunay triangulationComputer scienceTKMechanical EngineeringMetals and AlloysTriangulation (social science)RoboticsVisualizationSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineData visualizationComplex geometryAutomated systemsComputer engineeringMechanics of MaterialsFeature (computer vision)Phased arraysMaterials ChemistryUltrasonic sensorbusinessThroughput (business)Data visualisationInsight - Non-Destructive Testing and Condition Monitoring
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Minimization of childhood maltreatment is common and consequential: results from a large, multinational sample using the childhood trauma questionnai…

2016

Childhood maltreatment has diverse, lifelong impact on morbidity and mortality. The Childhood Trauma Questionnaire (CTQ) is one of the most commonly used scales to assess and quantify these experiences and their impact. Curiously, despite very widespread use of the CTQ, scores on its Minimization-Denial (MD) subscale-originally designed to assess a positive response bias-are rarely reported. Hence, little is known about this measure. If response biases are either common or consequential, current practices of ignoring the MD scale deserve revision. Therewith, we designed a study to investigate 3 aspects of minimization, as defined by the CTQ's MD scale: 1) its prevalence; 2) its latent struc…

Child abuseMaleResearch ValidityPsychometrics150Social Scienceslcsh:MedicineDenial PsychologicalCriminology600 Technik Medizin angewandte Wissenschaften::610 Medizin und GesundheitInfographicsPediatricsNational comorbidity survey; Adult psychiatric-disorders; Form CTQ-SF; Psychometric properties; Household dysfunction; German Version; Life stress; Abuse; Reliability; ValiditySHORT FORM0302 clinical medicineSociologySurveys and QuestionnairesMedicine and Health SciencesPsychologyPublic and Occupational HealthDenial (Psychology)Child AbuseGERMAN VERSIONChildlcsh:Sciencemedia_commonViolence ResearchPediatricPsychiatryMultidisciplinaryIncidence (epidemiology)Child HealthResearch AssessmentHOUSEHOLD DYSFUNCTIONDisorders of movement Donders Center for Medical Neuroscience [Radboudumc 3]SuicideMental HealthDenialADULT PSYCHIATRIC-DISORDERSScale (social sciences)RELIABILITYchild; childhood; Childhood Trauma Questionnaire; dependent variable; human; human tissue; major clinical study; mental patient; prevalence; scientist; validity; volunteerFemaleCrimeGraphsMedicine; PsychiatryResearch Articlemedicine.medical_specialtyComputer and Information SciencesPsychometricsGeneral Science & Technologymedia_common.quotation_subjectMEDLINEPsychological Stress610Sample (statistics)Research and Analysis MethodsPsykiatri03 medical and health sciencesDenialClinical ResearchMental Health and PsychiatryADVERSITYmedicineHumansVALIDITYPsychiatryABUSEPsychiatric Status Rating Scalesbusiness.industryData Visualizationlcsh:RCTQ treeBiology and Life Sciences030227 psychiatryHealth Care100 Philosophie und Psychologie::150 PsychologiePSYCHOMETRIC PROPERTIESCTQPsychologicallcsh:QHealth StatisticsMorbiditybusiness030217 neurology & neurosurgeryPLOS ONE
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A gallery of Chua's Attractors - Part IV

2007

Chua oscillator chaos visualization principal component analysis (PCA) Hausdorff distance Mahalanobis distance morphogenesis
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The on-line curvilinear component analysis (onCCA) for real-time data reduction

2015

Real time pattern recognition applications often deal with high dimensional data, which require a data reduction step which is only performed offline. However, this loses the possibility of adaption to a changing environment. This is also true for other applications different from pattern recognition, like data visualization for input inspection. Only linear projections, like the principal component analysis, can work in real time by using iterative algorithms while all known nonlinear techniques cannot be implemented in such a way and actually always work on the whole database at each epoch. Among these nonlinear tools, the Curvilinear Component Analysis (CCA), which is a non-convex techni…

Clustering high-dimensional dataBregman divergenceComputer scienceneural networkprojectionBregman divergenceNovelty detectionSynthetic dataData visualizationArtificial Intelligencebranch and boundComputer visionunfoldingcurvilinear component analysisCurvilinear coordinatesArtificial neural networkbusiness.industryVector quantizationPattern recognitiononline algorithmbearing faultvector quantizationPattern recognition (psychology)Principal component analysisbearing fault; branch and bound; Bregman divergence; curvilinear component analysis; data reduction; neural network; novelty detection; online algorithm; projection; unfolding; vector quantization; Software; Artificial Intelligencedata reductionArtificial intelligencebusinessnovelty detectionSoftware
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