Search results for "Relational database"

showing 10 items of 47 documents

A Semantic Model to Query Spatial–Temporal Data

2013

There is a growing need for the study of spatial–temporal objects and their relationships. A common approach for this task is the use of relational databases, which unfortunately do not allow inference. In this research, we introduce a new approach that uses the concept of a “continuum” together with ontologies and semantic Web technologies. The continuum allows us to define parent–child relationships between representations of objects. It also allows us to compare the evolution of two different objects and establish the relationships between them along time. Our approach is based on the four-dimensional fluent, which is extended to obtain spatial–temporal qualitative information from the a…

Information retrievalRelational databaseComputer sciencebusiness.industryInferenceSemantic data modelSemanticscomputer.software_genreTemporal databaseTask (project management)Knowledge baseData miningbusinessSemantic Webcomputer
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epiPATH: an information system for the storage and management of molecular epidemiology data from infectious pathogens.

2007

Abstract Background Most research scientists working in the fields of molecular epidemiology, population and evolutionary genetics are confronted with the management of large volumes of data. Moreover, the data used in studies of infectious diseases are complex and usually derive from different institutions such as hospitals or laboratories. Since no public database scheme incorporating clinical and epidemiological information about patients and molecular information about pathogens is currently available, we have developed an information system, composed by a main database and a web-based interface, which integrates both types of data and satisfies requirements of good organization, simple…

Interface (computing)PopulationData securityBiologycomputer.software_genreBioinformaticsWork relatedCommunicable Diseaseslcsh:Infectious and parasitic diseasesRelational database management systemDatabases GeneticInformation systemHumanslcsh:RC109-216RegistrieseducationDatabase servereducation.field_of_studyInternetMolecular EpidemiologyDatabase schemaData scienceInfectious DiseasesDatabase Management SystemscomputerSoftwareBMC infectious diseases
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General method for automated feature extraction and selection and its application for gender classification and biomechanical knowledge discovery of …

2020

Modern technologies enable to capture multiple biomechanical parameters often resulting in relational data. The current work proposes a generally applicable method comprising automated feature extraction, ensemble feature selection and classification to best capture the potentials of the data also for generating new biomechanical knowledge. Its benefits are demonstrated in the concrete biomechanically and medically relevant use case of gender classification based on spinal data for stance and gait. Very good results for accuracy were obtained using gait data. Dynamic movements of the lumbar spine in sagittal and frontal plane and of the pelvis in frontal plane best map gender differences.

MaleRelational databaseComputer science0206 medical engineeringFeature extractionPostureBiomedical EngineeringBioengineeringFeature selection02 engineering and technology03 medical and health sciencesAutomation0302 clinical medicineGait (human)Knowledge extractionmedicineHumansGaitComputingMethodologies_COMPUTERGRAPHICSSex Characteristicsbusiness.industryWork (physics)Reproducibility of ResultsPattern recognition030229 sport sciencesGeneral MedicineKnowledge Discovery020601 biomedical engineeringSagittal planeComputer Science ApplicationsBiomechanical PhenomenaHuman-Computer Interactionmedicine.anatomical_structureComputingMethodologies_PATTERNRECOGNITIONCoronal planeFemaleArtificial intelligencebusinessAlgorithms
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Change Discovery in Heterogeneous Data Sources of a Data Warehouse

2020

Data warehouses have been used to analyze data stored in relational databases for several decades. However, over time, data that are employed in the decision-making process have become so enormous and heterogeneous that traditional data warehousing solutions have become unusable. Therefore, new big data technologies have emerged to deal with large volumes of data. The problem of structural evolution of integrated heterogeneous data sources has become extremely topical due to dynamic and diverse nature of big data. In this paper, we propose an approach to change discovery in data sources of a data warehouse utilized to analyze big data. Our solution incorporates an architecture that allows t…

Metadatabusiness.industryProcess (engineering)Computer scienceRelational databaseOnline analytical processingBig dataUnstructured dataArchitecturebusinessData scienceData warehouse
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COOL, LCG Conditions Database for the LHC Experiments: Development and Deployment Status

2008

The Large Hadron Collider (LHC), the world’s largest and highest-energy particle accelerator, designed to collide opposing beams of protons or lead ions, started its operations in September 2008 at the European Organization for Nuclear Research (CERN) in Geneva, Switzerland. To process and analyze the huge amounts of data generated by the four experiments installed at different collision points along the LHC ring, a large distributed computing infrastructure has been set up, the LHC Computing Grid (LCG). The bulk of this data, referred to as ‘event data’, will record the signals left in the sub-detectors of the four LHC experiments by the passage of the particles generated in the collision …

PhysicsLarge Hadron ColliderDatabasePhysics::Instrumentation and DetectorsEvent (computing)business.industryRelational databaseSoftware developmentContext (language use)computer.software_genreOracleComputing and ComputersGrid computingSoftware deploymentbusinesscomputer
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MeCaSDa and ECaSDa: Methane and ethene calculated spectroscopic databases for the virtual atomic and molecular data centre

2013

Abstract Two spectroscopic relational databases, denoted MeCaSDa and ECaSDa, have been implemented for methane and ethene, and included in VAMDC (Virtual Atomic and Molecular Data Centre, http://portal.vamdc.eu/vamdc_portal/home.seam ). These databases collect calculated spectroscopic data from the accurate analyses previously performed for the electronic ground state of methane, ethene, and some of their isotopologues: 12CH4, 13CH4, and 12C2H4. Both infrared absorption and Raman scattering lines are included. The polyad structures are reported and the transitions are precisely described by their energy, their intensity and the full description of the lower and upper states involved in the …

PhysicsRadiationDatabaseRelational databaseInfrared spectroscopycomputer.software_genreAtomic and Molecular Physics and OpticsMethanesymbols.namesakechemistry.chemical_compoundData retrievalchemistrysymbolsMoleculeIsotopologueGround statecomputerSpectroscopyRaman scatteringJournal of Quantitative Spectroscopy and Radiative Transfer
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"Design and application of a data-independent precursor and product ion repository."

2012

The functional design and application of a data-independent LC-MS precursor and product ion repository for protein identification, quantification, and validation is conceptually described. The ion repository was constructed from the sequence search results of a broad range of discovery experiments investigating various tissue types of two closely related mammalian species. The relative high degree of similarity in protein complement, ion detection, and peptide and protein identification allows for the analysis of normalized precursor and product ion intensity values, as well as standardized retention times, creating a multidimensional/orthogonal queryable, qualitative, and quantitative spac…

ProteomicsRelational databaseTandem mass spectrometryMass SpectrometryPRI BIOS Applied Genomics & ProteomicsIonprotein identificationStructural BiologyLiquid chromatography–mass spectrometryspectral librarytandem mass-spectrometryInstrumentation (computer programming)large-scale proteomicsDatabases ProteinPeptide sequenceSpectroscopylc-msComplement (set theory)IonsChemistryProteinsReproducibility of Resultsacquisitionresolutionms/ms spectraCombinatorial chemistryquantificationIdentification (information)Database Management SystemsPeptidesBiological systemChromatography Liquidpeptide identificationJournal of the American Society for Mass Spectrometry
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Forecast of Study Success in the STEM Disciplines Based Solely on Academic Records

2020

We present an approach to the forecast of the study success in selected STEM disciplines (computer science, mathematics, physics, and meteorology), solely based on the academic record of a student so far, without access to demographic or socioeconomic data. The purpose of the analysis is to improve student counseling, which may be essential for finishing a study program in one of the above mentioned fields. Technically, we show the successful use of propositionalization on relational data from educational data mining, based on standard aggregates and basic LSTM-trained aggregates.

Relational database020204 information systems0202 electrical engineering electronic engineering information engineeringMathematics education020201 artificial intelligence & image processing02 engineering and technologySocioeconomic statusEducational data mining
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The HITRAN2016 molecular spectroscopic database

2017

This paper describes the contents of the 2016 edition of the HITRAN molecular spectroscopic compilation. The new edition replaces the previous HITRAN edition of 2012 and its updates during the intervening years. The HITRAN molecular absorption compilation is composed of five major components: the traditional line-by-line spectroscopic parameters required for high-resolution radiative-transfer codes, infrared absorption cross-sections for molecules not yet amenable to representation in a line-by-line form, collision-induced absorption data, aerosol indices of refraction, and general tables such as partition sums that apply globally to the data. The new HITRAN is greatly extended in terms of …

SQL010504 meteorology & atmospheric sciencesRelational databaseComputer sciencePhysique atomique et moléculaireMolecular spectroscopycomputer.software_genre01 natural sciencesHITRANMolecular absorptionCollision-induced Absorption0103 physical sciencesRadiative transferChimieCollision-induced absorption[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Experimentelle Verfahren010303 astronomy & astrophysics[ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]SpectroscopyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencescomputer.programming_languageAerosols[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]RadiationSpectroscopic database[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]DatabaseApplication programming interfaceSpectroscopic line parametersRotation formalisms in three dimensionsMolecular spectroscopyAtomic and Molecular Physics and OpticsSpectroscopie [électromagnétisme optique acoustique][ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]HITRANAbsorption cross-sectionscomputerMolecular absorption
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What to Expect and What to Focus on in SQL Query Teaching

2019

In the process of learning a new computer language, writing erroneous statements is part of the learning experience. However, some errors persist throughout the query writing process and are never corrected. Structured Query Language (SQL) consists of a number of different concepts such as expressions, joins, grouping and ordering, all of which by nature invite different possible errors in the query writing process. Furthermore, some of these errors are relatively easy for a student to fix when compared to others. Using a data set from three student cohorts with the total of 744 students, we set out to explore which types of errors are persistent, i.e., more likely to be left uncorrected by…

SQLComputer scienceProcess (engineering)Relational databaseJoins02 engineering and technologycomputer.software_genreQuery languagekyselykieletSet (abstract data type)020204 information systems0202 electrical engineering electronic engineering information engineeringerrorscomputer.programming_languageta113SQLSyntax (programming languages)business.industry05 social sciencesquery languagerelaatiotietokannatopetusdatabase educationrelational databasevirheetArtificial intelligence0509 other social sciences050904 information & library sciencesbusinesscomputerNatural language processing
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