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DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications(1)
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Automatic Detection of Fake News in Spanish: Ecuadorian Political Satire
ArticleAbstract: The circulation of fake news on internet, especially those of political satire through social media,Palabras claves:Fact-checking, Machine learning, Natural Language processing, Supervised classificationAutores:Miguel Flores, Nicolás Mafla, Roberto Omar Andrade, Sergio Castillo-PáezFuentes:scopusConstructing a control chart using functional data
ArticleAbstract: This study proposes a control chart based on functional data to detect anomalies and estimate the noPalabras claves:control chart, Data depth, Energy efficiency, functional data analysis, Nonparametric control chart, Statistical process controlAutores:Fernández-Casal R., Miguel Flores, Naya S., Raña P., Tarrío-Saavedra J., Zaragoza S.Fuentes:googlescopusCase study of anomaly detection and quality control of energy efficiency and hygrothermal comfort in buildings
Conference ObjectAbstract: The aim of this work is to propose different statistical and machine learning methodologies for idenPalabras claves:Anomaly detection, Energy efficiency, feature selection, functional data analysis, HVAC, industry 4.0, LOCI, ReliefF, Statistical Quality ControlAutores:Bolón-Canedo V., Eiras-Franco C., Fernández-Casal R., Miguel Flores, Naya S., Tarrío-Saavedra J., Zaragoza S.Fuentes:googlescopusILS: An R package for statistical analysis in Interlaboratory Studies
ArticleAbstract: In this paper we present an R package with routines to perform Interlaboratory Studies (ILS). The aiPalabras claves:Bootstrap, Data depth, functional data analysis, Interlaboratory studies, outlier detection, R SoftwareAutores:Fernández-Casal R., Miguel Flores, Naya S., Roberto Bossano, Tarrío-Saavedra J.Fuentes:googlescopusIntegration of AI and IoT Approaches for Evaluating Cybersecurity Risk on Smart City
Book PartAbstract: Cities have adopted the smart city model based on decision-making to maintain their sustainability aPalabras claves:Bayesian network, DIGITAL TWIN, IOT, Risk analysis, smart cityAutores:Iván Ortiz, Luis Tello-Oquendo, Miguel Flores, Roberto Omar Andrade, Sang Guun YooFuentes:googlescopusIdentification of Spatial Clusters of Companies and the Influence of External Factors in their Constitution
ArticleAbstract: This work focuses on the use of different data mining techniques, based on geospatial statistical mePalabras claves:Local Indicators of Spatial Association, spatial regression models, Spatial statisticsAutores:Jorge Jácome, Miguel FloresFuentes:scopusRobust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies
ArticleAbstract: This study proposes the use of the bootstrap methodology to estimate the distribution of the Mandel'Palabras claves:Bootstrap, ILS, Nonparametric statistics, outlier detectionAutores:Génesis Moreno, Miguel Flores, Naya S., Solórzano, Cristian, Tarrío-Saavedra J.Fuentes:googlescopusMethodological Proposal for the Construction of a Decision Support System (DSS) Applied to IoT
Book PartAbstract: The objective of this work is to carry out a systematic analysis of decision support system (DSS) mePalabras claves:Business information needs, Business objectives, Business opportunities, Business problems, Business strategies, CLOUD COMPUTING, data analytics, Decision-makers, Development of DDS, DSS, DSS methodologies, DSS prototypes, IOT, Proposed methodology, SOCIAL NETWORKS, Stages, Support decision systemsAutores:Geovanna M. Chela, Miguel Flores, Roberto Omar Andrade, Tania G. GualliFuentes:scopusLocal Correlation Integral Approach for Anomaly Detection Using Functional Data
ArticleAbstract: The present work develops a methodology for the detection of outliers in functional data, taking intPalabras claves:Anomaly detection, FDA, Hilbert space, LOCI, outlier detectionAutores:Jorge R. Sosa Donoso, Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:scopusNew robust capability ratios approaches for quality control
ArticleAbstract: Robustness of process capability measurements is a very important matter in statistical quality contPalabras claves:Bootstrap confidence intervals, Bootstrap hypothesis testing, Process capability ratio, Robust statisticsAutores:Devia-Rivera A., Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:googlescopus