Search results for "Data type"

showing 10 items of 1183 documents

Hierarchically nested factor model from multivariate data

2005

We show how to achieve a statistical description of the hierarchical structure of a multivariate data set. Specifically we show that the similarity matrix resulting from a hierarchical clustering procedure is the correlation matrix of a factor model, the hierarchically nested factor model. In this model, factors are mutually independent and hierarchically organized. Finally, we use a bootstrap based procedure to reduce the number of factors in the model with the aim of retaining only those factors significantly robust with respect to the statistical uncertainty due to the finite length of data records.

Data recordsStructure (mathematical logic)Multivariate statisticsCovariance matrixFinance commerce hierarchical structureGeneral Physics and AstronomySimilarity matrixFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networkscomputer.software_genreHierarchical clusteringCondensed Matter - Other Condensed MatterSet (abstract data type)Factor (programming language)Data miningcomputerMathematicscomputer.programming_languageOther Condensed Matter (cond-mat.other)
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Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions

2016

The joint density of a data stream is suitable for performing data mining tasks without having access to the original data. However, the methods proposed so far only target a small to medium number of variables, since their estimates rely on representing all the interdependencies between the variables of the data. High-dimensional data streams, which are becoming more and more frequent due to increasing numbers of interconnected devices, are, therefore, pushing these methods to their limits. To mitigate these limitations, we present an approach that projects the original data stream into a vector space and uses a set of representatives to provide an estimate. Due to the structure of the est…

Data streamMahalanobis distanceComputer scienceData stream miningbusiness.industry02 engineering and technologyDensity estimationcomputer.software_genreSet (abstract data type)Software020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingData miningbusinesscomputerCurse of dimensionalityVector space
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Reverse-Safe Text Indexing

2021

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z - reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D . The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z , we propose an algorithm that constructs a z -reverse-safe data structure ( z -RSDS) that has size O(n) and answers decision and counting pattern matc…

Data structuresComputer scienceSuffix treesuffix tree0102 computer and information sciences02 engineering and technologytext indexing01 natural sciencesTheoretical Computer Sciencelaw.inventionSet (abstract data type)law020204 information systems0202 electrical engineering electronic engineering information engineeringPattern matchingdata privacySettore INF/01 - InformaticaSearch engine indexingdata privacy; Data structures; pattern matching; suffix tree; text indexingData structureMatrix multiplicationpattern matching010201 computation theory & mathematicsData structureAlgorithmAdversary modelInteger (computer science)ACM Journal of Experimental Algorithmics
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Verbal ordinal classification with multicriteria decision aiding

2008

Abstract Professionals in neuropsychology usually perform diagnoses of patients’ behaviour in a verbal rather than in a numerical form. This fact generates interest in decision support systems that process verbal data. It also motivates us to develop methods for the classification of such data. In this paper, we describe ways of aiding classification of a discrete set of objects, evaluated on set of criteria that may have verbal estimations, into ordered decision classes. In some situations, there is no explicit additional information available, while in others it is possible to order the criteria lexicographically. We consider both of these cases. The proposed Dichotomic Classification (DC…

Decision support systemInformation Systems and ManagementGeneral Computer ScienceComputational complexity theoryComputer sciencebusiness.industryProcess (engineering)Management Science and Operations ResearchLexicographical orderObject (computer science)Machine learningcomputer.software_genreIndustrial and Manufacturing EngineeringSet (abstract data type)Modeling and SimulationArtificial intelligenceMedical diagnosisbusinesscomputerDecision analysisEuropean Journal of Operational Research
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Rough Set Theory for Supporting Decision Making on Relevance in Browsing Multilingual Digital Resources

2017

Browsing digital library (DL) collections seems to pose a challenge for a user owning to the number of factors like for instance, operability of the system, interface readability or clarity, and retrieval efficiency directly related to it, or the number of digital items within the user’s domain. However, when it comes to searching for an item in a foreign language to the user, the number of the factors arises even more which translates proportionally to the growing number of clicks aimed to retrieve the target item. Such a procedure usually leads to disheartening the user from browsing the digital collections. Our study into the user’s behavior interacting with multilingual DL system is set…

Decision support systemRough set theoryInformation retrievalComputer scienceInterface (Java)020206 networking & telecommunications02 engineering and technologyDecision ruleDecision support systemsDigital libraryDomain (software engineering)Set (abstract data type)0202 electrical engineering electronic engineering information engineeringInformation retrieval020201 artificial intelligence & image processingRelevance (information retrieval)Rough setMultilingual digital libraries
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Prediction of arrival times and human resources allocation for container terminal

2011

Increasing competition in the container shipping sector has meant that terminals are having to equip themselves with increasingly accurate analytical and governance tools. A transhipment terminal is an extremely complex system in terms of both organisation and management. Added to the uncertainty surrounding ships’ arrival time in port and the costs resulting from over-underestimation of resources is the large number of constraints and variables involved in port activities. Predicting ships delays in advance means that the relative demand for each shift can be determined with greater accuracy, and the basic resources then allocated to satisfy that demand. To this end, in this article we pro…

Decision support systemdecision support systemArtificial neural networkOperations researchneural networkbusiness.industryComputer scienceEconomics Econometrics and Finance (miscellaneous)resource allocationTransportationcontainer hub planningcontainership arrivals predictionPort (computer networking)Competition (economics)Settore ICAR/05 - TrasportiTerminal (electronics)Container (abstract data type)Resource allocationHuman resourcesbusinesscontainer handling optimisationMaritime Economics & Logistics
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Cholesky decomposition-based definition of atomic subsystems in electronic structure calculations

2010

Decomposing the Hartree-Fock one-electron density matrix and a virtual pseudodensity matrix, we obtain an orthogonal set of normalized molecular orbitals with local character to be used in post-Hartree-Fock calculations. The applicability of the procedure is illustrated by calculating CCSD(T) energies and CCSD molecular properties in reduced active spaces. © 2010 American Institute of Physics.

Density matrixChemistryNuclear TheoryGeneral Physics and AstronomyElectronic structureSet (abstract data type)Matrix (mathematics)Physics and Astronomy (all)Character (mathematics)Quantum mechanicsPhysics::Atomic and Molecular ClustersMolecular orbitalPhysics::Atomic PhysicsPhysics::Chemical PhysicsPhysical and Theoretical ChemistryCholesky decomposition
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Design principles for learning analytics information systems in higher education

2020

This paper reports a design science research (DSR) study that develops, demonstrates and evaluates a set of design principles for information systems (IS) that utilise learning analytics to support learning and teaching in higher education. The initial set of design principles is created from theory-inspired conceptualisation based on the literature, and they are evaluated and revised through a DSR process of demonstration and evaluation. We evaluated the developed artefact in four courses with a total enrolment of 1,173 students. The developed design principles for learning analytics information systems (LAIS) to establish a foundation for further development and implementation of learning…

Design Science ResearchoppiminenHigher educationComputer sciencebusiness.industryLearning analyticsDesign elements and principlesHigher EducationLibrary and Information SciencesoppimistuloksetopetusData scienceLearning AnalyticskorkeakouluopetusSet (abstract data type)ComputingMilieux_COMPUTERSANDEDUCATIONInformation systemDesign science researchbusinesstietojärjestelmätInformation SystemsEuropean Journal of Information Systems
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A Branch-Price-and-Cut Algorithm for the Min-Max k -Vehicle Windy Rural Postman Problem

2013

[EN] The min-max k -vehicles windy rural postman problem consists of minimizing the maximal distance traveled by a vehicle to find a set of balanced routes that jointly service all the required edges in a windy graph. This is a very difficult problem, for which a branch-and-cut algorithm has already been proposed, providing good results when the number of vehicles is small. In this article, we present a branch-price-and-cut method capable of obtaining optimal solutions for this problem when the number of vehicles is larger for the same set of required edges. Extensive computational results on instances from the literature are presented.

Difficult problemService (systems architecture)Mathematical optimizationComputer Networks and CommunicationsBranch and priceColumn generationSet (abstract data type)Rural postman problemHardware and ArchitectureCutting planesGraph (abstract data type)Branch-and-priceColumn generationWindy rural postman problemMATEMATICA APLICADAAlgorithmSoftwareInformation SystemsMathematicsMultivehicle
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CADEM: calculate X-ray diffraction of epitaxial multilayers

2017

This article presents a powerful yet simple program, based on the general one-dimensional kinematic X-ray diffraction (XRD) theory, which calculates the XRD patterns of tailor-made multilayers and thus enables quantitative comparison of measured and calculated XRD data. As the multilayers are constructed layer by layer, the final material stack can be entirely arbitrary.

DiffractionMaterials sciencesuperlatticesSuperlattice02 engineering and technologyEpitaxy01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyCondensed Matter::Materials ScienceOpticsLattice constantStack (abstract data type)0103 physical sciencesPhysics::Chemical PhysicsX-ray diffraction pattern calculation010306 general physicsCondensed matter physicsbusiness.industryRelaxation (NMR)Layer by layer021001 nanoscience & nanotechnologycomputer programsepitaxial multilayersX-ray crystallography0210 nano-technologybusinessJournal of Applied Crystallography
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