Search results for "Relational database"

showing 10 items of 47 documents

Exceptional Pattern Discovery

2017

This chapter is devoted to a discussion on exceptional pattern discovery, namely on scenarios, contexts, and techniques concerning the mining of patterns which are so rare or so frequent to be considered as exceptional and, then, of interest for an expert to shed lights on the domain. Frequent patterns have found broad applications in areas like association rule mining, indexing, and clustering [1, 20, 23]. The application of frequent patterns in classification also achieved some success in the classification of relational data [6, 13, 14, 19, 25], text [15], and graphs [7]. The part is organized as follows. First, the frequent pattern mining on classical datasets is presented. This is not …

0301 basic medicineBiological dataPoint (typography)Association rule learningComputer scienceRelational databasebusiness.industrySearch engine indexingcomputer.software_genreDomain (software engineering)Network pattern03 medical and health sciences030104 developmental biology0302 clinical medicineArtificial intelligenceCluster analysisbusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Reactome graph database: Efficient access to complex pathway data

2018

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its qu…

0301 basic medicineDatabases FactualComputer scienceData managementKnowledge BasesSocial SciencesInformation Storage and RetrievalNoSQLcomputer.software_genreComputer ApplicationsDatabase and Informatics MethodsUser-Computer Interface0302 clinical medicineKnowledge extractionPsychologyDatabase Searchinglcsh:QH301-705.5Data ManagementLanguageBiological dataEcologySystems BiologyGenomicsGenomic DatabasesComputational Theory and MathematicsModeling and SimulationWeb-Based ApplicationsGraph (abstract data type)Information TechnologyResearch ArticleComputer and Information SciencesRelational databaseQuery languageResearch and Analysis MethodsEcosystems03 medical and health sciencesCellular and Molecular NeuroscienceDatabasesGeneticsComputer GraphicsHumansMolecular BiologyEcology Evolution Behavior and SystematicsInternetInformation retrievalGraph databasebusiness.industryEcology and Environmental SciencesCognitive PsychologyBiology and Life SciencesComputational BiologyGenome AnalysisRelational Databases030104 developmental biologyBiological Databaseslcsh:Biology (General)Cognitive Sciencebusinesscomputer030217 neurology & neurosurgerySoftwareNeurosciencePLoS Computational Biology
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The rise of the middle author: Investigating collaboration and division of labor in biomedical research using partial alphabetical authorship

2017

Contemporary biomedical research is performed by increasingly large teams. Consequently, an increasingly large number of individuals are being listed as authors in the bylines, which complicates the proper attribution of credit and responsibility to individual authors. Typically, more importance is given to the first and last authors, while it is assumed that the others (the middle authors) have made smaller contributions. However, this may not properly reflect the actual division of labor because some authors other than the first and last may have made major contributions. In practice, research teams may differentiate the main contributors from the rest by using partial alphabetical author…

Biomedical ResearchEconomicslcsh:MedicineSocial SciencesDatabase and Informatics MethodsMathematical and Statistical TechniquesMedicine and Health SciencesMedicinePsychologyAlphabetical orderCooperative Behaviorlcsh:ScienceLanguageMultidisciplinaryCareers05 social sciencesResearch AssessmentPublic relationsResearch PersonnelResearch DesignPublishingPhysical SciencesListing (finance)Information Technology050904 information & library sciencesSequence AnalysisStatistics (Mathematics)Period (music)Division of labourResearch ArticleEmploymentComputer and Information SciencesBioinformaticsBibliometricsResearch and Analysis Methods050905 science studiesDatabasesHumansStatistical MethodsPublishingOperationalizationbusiness.industryField (Bourdieu)lcsh:RCognitive PsychologyBiology and Life SciencesRelational DatabasesAuthorshipBibliometricsLabor EconomicsCognitive Sciencelcsh:QClinical Medicine0509 other social sciencesAttributionbusinessMathematicsForecastingNeurosciencePLOS ONE
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CoCoDat: a database system for organizing and selecting quantitative data on single neurons and neuronal microcircuitry.

2004

We present a novel database system for organizing and selecting quantitative experimental data on single neurons and neuronal microcircuitry that has proven useful for reference-keeping, experimental planning and computational modelling. Building on our previous experience with large neuroscientific databases, the system takes into account the diversity and method-dependence of single cell and microcircuitry data and provides tools for entering and retrieving published data without a priori interpretation or summarizing. Data representation is based on the framework suggested by biophysical theory and enables flexible combinations of data on membrane conductances, ionic and synaptic current…

Computer sciencecomputer.internet_protocolRelational databaseModels NeurologicalAction PotentialsInformation Storage and Retrievalcomputer.software_genreMachine learningExternal Data RepresentationData retrievalAnimalsComputer SimulationLayer (object-oriented design)NeuronsDatabasebusiness.industryGeneral NeuroscienceExperimental dataRatsData sharingScalabilityDatabase Management SystemsArtificial intelligenceNeural Networks ComputerNerve NetbusinesscomputerXMLJournal of neuroscience methods
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Metadata to Support Data Warehouse Evolution

2009

The focus of this chapter is metadata necessary to support data warehouse evolution. We present the data warehouse framework that is able to track evolution process and adapt data warehouse schemata and data extraction, transformation, and loading (ETL) processes. We discuss the significant part of the framework, the metadata repository that stores information about the data warehouse, logical and physical schemata and their versions. We propose the physical implementation of multiversion data warehouse in a relational DBMS. For each modification of a data warehouse schema, we outline the changes that need to be made to the repository metadata and in the database.

Data elementInformation retrievalDatabaseComputer scienceInformationSystems_DATABASEMANAGEMENTcomputer.software_genreData warehouseMetadata repositorySchema evolutionMetadataRelational database management systemData extractionSchema (psychology)computer
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Migration of Relational Database to Document-Oriented Database: Structure Denormalization and Data Transformation

2015

Relational databases remain the leading data storage technology. Nevertheless, many companies want to reduce operating expenses, to make scalable applications that use cloud computing technologies. Use of NoSQL database is one of the possible solutions, and it is forecasted that the NoSQL market will be growing at a CAGR of approximately 50 percent over the next five years. The paper offers a solution for quick data migration from a relational database into a document-oriented database. We have created semi-automatically two logical levels over physical data. Users can refine generated logical data model and configure data migration template for each needed document. Data migration features…

DatabaseRelational database management systemComputer scienceRelational databaseViewDatabase schemaDatabase theoryNoSQLcomputer.software_genrecomputerDatabase designDatabase model2015 7th International Conference on Computational Intelligence, Communication Systems and Networks
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PDB: A pictorial database oriented to data analysis

1993

The paper describes a new pictorial database oriented to image analysis, implemented inside the MIDAS data analysis system. Pictorial databases need expressive data structures in order to represent a wide class of information from the numerical to the visual. The model of the database is relational; however, a full normalization is not achievable, owing to the complexity of the visual information. The paper reports the general design and notes on the software implementation. Preliminary experiments show the performance of the pictorial database. Copyright © 1993 John Wiley & Sons, Ltd

DatabaseSettore INF/01 - InformaticaRelational databaseComputer scienceNormalization (image processing)InformationSystems_DATABASEMANAGEMENTcomputer.software_genreData structureDatabase designPictorial databaseData analysis systemSystems designInformation retrievalManagement and queryRelational databaseDatabase theoryImage analysicomputerSoftwareDatabase model
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Locality of order-invariant first-order formulas

1998

A query is local if the decision of whether a tuple in a structure satisfies this query only depends on a small neighborhood of the tuple. We prove that all queries expressible by order-invariant first-order formulas are local.

Discrete mathematicsRelational databaseComputer Science::Information RetrievalInformationSystems_INFORMATIONSTORAGEANDRETRIEVALLocalityStructure (category theory)InformationSystems_DATABASEMANAGEMENTFirst orderComplexity classOrder (group theory)Invariant (mathematics)TupleAlgorithmComputer Science::DatabasesMathematics
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Construction of a webgis tool based on a gis semiautomated processing for the localization of p2g plants in sicily (Italy)

2021

The recent diffusion of RES (Renewable Energy Sources), considering the electric energy produced by photovoltaic and wind plants, brought to light the problem of the unpredictable nature of wind and solar energy. P2G (Power to Gas) implementation seems to be the right solution, transforming curtailed energy in hydrogen. The choice of the settlement of P2G plants is linked to many factors like the distances between the gas grid and the settlement of RES plants, the transportation networks, the energy production, and population distribution. In light of this, the implementation of a Multi-Criteria Analysis (MCA) into a Geographic Information System (GIS) processing represents a good strategy …

Geographic information systemComputer scienceGeography Planning and DevelopmentPopulationcomputer.software_genreAsset (computer security)WebGISRelational database management systemEarth and Planetary Sciences (miscellaneous)P2GComputers in Earth ScienceseducationRDBMSeducation.field_of_studyGeography (General)Databasebusiness.industryPhotovoltaic systemMCAHydrogen technologiesGridRenewable energyRESG1-922businesscomputer
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Datorzinātne un informācijas tehnoloģijas

2011

Grover’s algorithmHigher order transformationsOntologyBusiness process controlSoftware development:TECHNOLOGY::Information technology::Computer science [Research Subject Categories]Quantum computingModel-driven developmentTool definition metamodelData browsingTransformation-driven architectureGraphical tool buildingCubic spline interpolationGUILanguages for model-driven developmentRelational databases
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