Search results for "Pattern"

showing 10 items of 4203 documents

Mining Maximal Frequent Patterns in Transactional Databases and Dynamic Data Streams: A Spark-based Approach

2018

Mining maximal frequent patterns (MFPs) in transactional databases (TDBs) and dynamic data streams (DDSs) is substantially important for business intelligence. MFPs, as the smallest set of patterns, help to reveal customers’ purchase rules and market basket analysis (MBA). Although, numerous studies have been carried out in this area, most of them extend the main-memory based Apriori or FP-growth algorithms. Therefore, these approaches are not only unscalable but also lack parallelism. Consequently, ever increasing big data sources requirements cannot be met. In addition, mining performance in some existing approaches degrade drastically due to the presence of null transactions. We, therefo…

dynamic data streamsprime number theorybig datatransactional databasesnull transactionsapache sparkmaximal frequent patternstiedonlouhinta
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Relationship between dysfunctional eating patterns and binge drinking in young people and associated risk factors

2022

La joventut (compresa entre els 18 i 30 anys) es considera un període de vulnerabilitat, en què és freqüent observar trastorns alimentaris, consum de drogues i una major tendència a buscar noves sensacions i comportaments de risc, entre moltes altres conductes. En concret, hi ha dos comportaments molt prevalents en els joves i s'associen amb conseqüències de salut molt negatives: el consum de menjar ultraprocessat i el consum d'alcohol. Tot i això, el problema no rau només en el tipus de consum (és a dir, beure alcohol o menjar menjar ràpid), sinó també en com es consumeix l'alcohol o el menjar. L'afartament es caracteritza per la ingesta de grans quantitats de menjar (afartament de menjar)…

dysfunctional eating patternsfat intakebinge eatingexcessive alcohol consumptionfood addiction:PSICOLOGÍA [UNESCO]risk factorsbody mass indexUNESCO::PSICOLOGÍAbinge drinkingyoung peopleeating styles
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Regularization Preserving Localization of Close Edges

2007

International audience; In this letter, we address the problem of the influence of neighbor edges and their effect on the edge delocalization while extracting a neighbor contour by a derivative approach. The properties to be fulfilled by the regularization operators to minimize or suppress this side effect are deduced, and the best detectors are pointed out. The study is carried out in 1-D for discrete signal. We show that among the derivative filters, one of them can correctly detect our model edges without being influenced by a neighboring transition, whatever their separation distance is and their respective amplitude is. A model of contour and close transitions is presented and used through…

edge localization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingneighbor edge[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyEdge detectionDiscrete-time signal[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringRegularization operatorCanny edge detectorEdge detectionElectrical and Electronic EngineeringMathematicsedge modelbusiness.industryApplied MathematicsDetector020207 software engineeringPattern recognitionregularization filterDeriche edge detectorAmplitude[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Regularization (physics)Signal Processing020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmIEEE Signal Processing Letters
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Principal Component and Neural Network Analyses of Face Images: What Can Be Generalized in Gender Classification?

1998

We present an overview of the major findings of the principal component analysis (pca) approach to facial analysis. In a neural network or connectionist framework, this approach is known as the linear autoassociator approach. Faces are represented as a weighted sum of macrofeatures (eigenvectors or eigenfaces) extracted from a cross-product matrix of face images. Using gender categorization as an illustration, we analyze the robustness of this type of facial representation. We show that eigenvectors representing general categorical information can be estimated using a very small set of faces and that the information they convey is generalizable to new faces of the same population and to a l…

education.field_of_studyArtificial neural networkbusiness.industryApplied MathematicsPopulationPattern recognitionMachine learningcomputer.software_genreComputingMethodologies_PATTERNRECOGNITIONEigenfaceCategorizationRobustness (computer science)Face (geometry)Principal component analysisArtificial intelligencebusinesseducationcomputerCategorical variableGeneral PsychologyMathematicsJournal of Mathematical Psychology
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Seed dispersal, braeding system, tree density and the spatial pattern of trees – a simulation approach

2002

Summary Tropical tree populations with low densities and with clumped spatial distributions are at risk in the face of fragmentation. It is therefore important to understand factors driving spatial patterns of tree populations. An important set of factors which may influence the spatial pattern of plants, could be the spatial distribution of possible seed sources such as the breeding system (monoecious, dioecious), tree density and the spatial pattern of the parent population. Another set of important factors might be dispersal of seeds away from the parent plants characterised by the mean dispersal distance and by the distribution of dispersal distances (either negative exponential or logn…

education.field_of_studyEcologySeed dispersalPopulationSpatial ecologyCommon spatial patternBiological dispersalTree densityBiologySpatial distributioneducationNegative exponentialEcology Evolution Behavior and SystematicsBasic and Applied Ecology
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Noise in ecosystems: a short review

2004

Noise, through its interaction with the nonlinearity of the living systems, can give rise to counter-intuitive phenomena such as stochastic resonance, noise-delayed extinction, temporal oscillations, and spatial patterns. In this paper we briefly review the noise-induced effects in three different ecosystems: (i) two competing species; (ii) three interacting species, one predator and two preys, and (iii) N-interacting species. The transient dynamics of these ecosystems are analyzed through generalized Lotka-Volterra equations in the presence of multiplicative noise, which models the interaction between the species and the environment. The interaction parameter between the species is random …

education.field_of_studyExtinctionStochastic resonanceApplied MathematicsPopulationPopulations and Evolution (q-bio.PE)Pattern formationGeneral MedicineFunction (mathematics)Noise (electronics)Multiplicative noiseEcosystemsComputational MathematicsModeling and SimulationFOS: Biological sciencesStatisticsSpatial ecologyQuantitative Biology::Populations and EvolutionStatistical physicsGeneral Agricultural and Biological ScienceseducationNoiseQuantitative Biology - Populations and EvolutionMathematics
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Open challenges in environmental data analysis and ecological complex systems (a)

2020

Abstract This letter focuses on open challenges in the fields of environmental data analysis and ecological complex systems. It highlights relations between research problems in stochastic population dynamics, machine learning and big data research, and statistical physics. Recent and current developments in statistical modeling of spatiotemporal data and in population dynamics are briefly reviewed. The presentation emphasizes stochastic fluctuations, including their statistical representation, data-based estimation, prediction, and impact on the physics of the underlying systems. Guided by the common thread of stochasticity, a deeper and improved understanding of environmental processes an…

education.field_of_studyInterdisciplinary applications of physicEcologybusiness.industryEcology (disciplines)PopulationBig dataComplex systemGeneral Physics and AstronomyStatistical modelEcological pattern formationPopulation dynamicData modelingEnvironmental dataEnvironmental studieseducationbusinessEnvironmental studiesEurophysics Letters
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Eating patterns are associated with biomarkers in a selected population of university students and employees.

2011

AbstractThe association between diet and CVD cannot be assigned to a single nutrient, but rather to a set of nutrients and non-nutrients, and eating pattern analyses have become an important tool in investigation of this relationship. Our objective was to investigate eating patterns in relation to nutrient intake and serum concentration of folate, vitamin B12 and TAG in ninety-five healthy adult participants. Dietary information was collected by an FFQ, and eating patterns were obtained by principal components analyses of thirty-three food groups. Three eating patterns were extracted, a sweet eating pattern identified by intakes of cakes, snacks, sugar-sweetened drinks and chocolates; a pru…

education.field_of_studyNutrition and Dieteticsbusiness.industryEndocrinology Diabetes and MetabolismSerum folatePopulationdigestive oral and skin physiologyDietary Surveys and Nutritional EpidemiologyNegative associationSerum concentrationEating patternsCVDFood groupEnvironmental healthTAGRed meatMedicineVitamin B12Food sciencebusinesseducationBiomarkersFood ScienceMorningOlive oilJournal of nutritional science
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Assessing the Beneficial Effects of Economic Growth: The Harmonic Growth Index

2011

In this paper we introduce the multidimensional notion of harmonic growth as a situation of diffused well-being associated to an increase of per capita GDP. We say that a country experienced a harmonic growth if during the observed period all the key indicators, proxies of the endogenous and exogenous forces driving population well-being, show a significantly common pattern with the income dynamics. The notion is operationalized via an index of time series harmony which follows the functional data analysis approach. This Harmonic Growth Index (HGI) is based on comparisons between the coefficients from cubic B-splines interpolation. Such indices are then synthesized in order to provide the g…

education.field_of_studyOperationalizationPopulationFunctional data analysisDevelopment Growth Index Time series patternHuman development (humanity)Gross domestic productExemplificationEconometricsHuman Development IndexAutoregressive integrated moving averageSettore SECS-S/05 - Statistica SocialeeducationMathematics
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Time evolution of non-lethal infectious diseases: a semi-continuous approach.

2005

A model describing the dynamics related to the spreading of non-lethal infectious diseases in a fixed-size population is proposed. The model consists of a non-linear delay-differential equation describing the time evolution of the increment in the number of infectious individuals and depends upon a limited number of parameters. Predictions are in good qualitative agreement with data on influenza.

education.field_of_studyPopulation87.23.Cc Population dynamics and ecological pattern formationPopulations and Evolution (q-bio.PE)Time evolutionCondensed Matter PhysicsQuantitative Biology - Quantitative MethodsElectronic Optical and Magnetic MaterialsFOS: Biological sciencesInterdisciplinary PhysicsQuantitative Biology::Populations and EvolutionStatistical physicseducationQuantitative Biology - Populations and EvolutionQuantitative Methods (q-bio.QM)MathematicsThe European physical journal. B
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