Search results for " retrieval."

showing 10 items of 1102 documents

A relevance feedback CBIR algorithm based on fuzzy sets

2008

CBIR (content-based image retrieval) systems attempt to allow users to perform searches in large picture repositories. In most existing CBIR systems, images are represented by vectors of low level features. Searches in these systems are usually based on distance measurements defined in terms of weighted combinations of the low level features. This paper presents a novel approach to combining features when using multi-image queries consisting of positive and negative selections. A fuzzy set is defined so that the degree of membership of each image in the repository to this fuzzy set is related to the user's interest in that image. Positive and negative selections are then used to determine t…

Iterative methodbusiness.industryFuzzy setRelevance feedbackUsabilityMachine learningcomputer.software_genreImage (mathematics)Set (abstract data type)Signal ProcessingComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessImage retrievalAlgorithmcomputerSoftwareSelection (genetic algorithm)MathematicsSignal Processing: Image Communication
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On some flaws of university rankings: The example of the SCImago report

2012

International audience; Using France as our main example, we show there is a much scope for improving the SCImago ranking. We detect problems of nomenclature, double affiliation, aggregation and of bias toward large public-funded research organizations. The output per scholar is more important than the output per organization. The examples we cite suggest that only detailed knowledge of the situation can help in addressing the issue and take us beyond any automatic reading of the metadata.

JEL: A - General Economics and Teaching/A.A1 - General Economics/A.A1.A14 - Sociology of EconomicsEconomics and EconometricsInformation retrievalScope (project management)Computer science[SHS.INFO]Humanities and Social Sciences/Library and information sciencesmedia_common.quotation_subjectaggregation[SHS.ECO]Humanities and Social Sciences/Economics and Financeuniversity rankingagrégation[SHS.INFO] Humanities and Social Sciences/Library and information sciencesRanking (information retrieval)SCImagoMetadataReading (process)SJRclassement universités[ SHS.ECO ] Humanities and Social Sciences/Economies and financesAgrégationaffiliation[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : A - General Economics and Teaching/A.A1 - General Economics/A.A1.A14 - Sociology of Economicsmedia_common
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Does relevance matter to data mining research?

2008

Data mining (DM) and knowledge discovery are intelligent tools that help to accumulate and process data and make use of it. We review several existing frameworks for DM research that originate from different paradigms. These DM frameworks mainly address various DM algorithms for the different steps of the DM process. Recent research has shown that many real-world problems require integration of several DM algorithms from different paradigms in order to produce a better solution elevating the importance of practice-oriented aspects also in DM research. In this chapter we strongly emphasize that DM research should also take into account the relevance of research, not only the rigor of it. Und…

Knowledge extractionAssociation rule learningComputer scienceProcess (engineering)Granular computingInformation systemSoftware miningRelevance (information retrieval)Data miningcomputer.software_genreData sciencecomputerSketch
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Explorando la divulgación de información integrada por universidades colombianas. Un análisis de páginas web basado en el marco del IIRC

2021

La información integrada se presenta como un fenómeno de reciente auge que permite a diversas organizaciones informar de una manera simplificada pero completa sobre su gestión respecto a diversos tipos de capitales. Aunque predominantemente se ha desarrollado en las empresas privadas, en el ámbito internacional viene reconociéndose que otro tipo de organizaciones como las universidades, divulgan esta información o cuentan con la necesidad y el potencial para ello. Este trabajo tiene como objetivo analizar en qué medida la información solicitada para construir un reporte integrado de acuerdo con los requerimientos del Marco Conceptual del IIRC, ya está revelada en internet por las universida…

Knowledge managementConceptual frameworkbusiness.industryThe InternetGeneral MedicineBusinessIntegrated reportingBusiness modelUnit of analysisChecklistRanking (information retrieval)Contaduría Universidad de Antioquia
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Entrepreneurial universities: A bibliometric analysis within the business and management domains

2021

Abstract This study presents a bibliometric analysis of scientific publications investigating entrepreneurial universities in the business and management fields. The authors collected 511 documents from the Web of Science and analysed them using Bibliometrix, an RStudio package for performance analysis and science mapping. The study aims to provide an overview of the evolution of research about this topic and describe the structures (i.e., conceptual, social, and intellectual) characterising it. It discusses the results to identify the main areas addressed so far and highlight gaps in the literature, offering avenues for possible future research. The results show that publications on entrep…

Knowledge managementFuture studiesBibliometric analysis020209 energyDeveloping country02 engineering and technologyEntrepreneurial universities Academic entrepreneurship Bibliometric analysis Bibliometrix Technology transferBibliometric analysisManagement of Technology and InnovationPhenomenonPolitical science0502 economics and business0202 electrical engineering electronic engineering information engineeringRelevance (information retrieval)Business and International ManagementBaseline (configuration management)ProductivityApplied PsychologyTechnology transferbusiness.industry05 social sciencesUnit of analysisAcademic entrepreneurshipEntrepreneurial universitiesBibliometrixbusiness050203 business & management
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Intrapreneurs: Characteristics and Behavior

2017

Intrapreneurship has become a relevant topic in literature as far as its impact on organizational performance is more and more often highlighted from very diverse points of view. The main goal of this chapter is introducing the specific personal and professional profile of intrapreneurs, considered as highly committed individuals motivated by innovation, continuous improvement and able to leader teams in the direction they foresee within the companies in which they work. This chapter will present the relevance and impact of intrapreneurship, the role and main characteristics of the intrapreneurs, their behavior and motivations, and finally some good practices will be exposed in order to enc…

Knowledge managementIntrapreneurshipWork (electrical)Order (business)business.industry0502 economics and business05 social sciences050211 marketingRelevance (information retrieval)businessOrganizational performance050203 business & management
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A Barrier Framework for open E-Learning in public administrations

2015

A comprehensive literature review on E-Learning and OER in public administrations.A contextualized Barrier Framework about core barriers in the public sector.Lessons learned to improve implementation and adoption processes of open E-Learning.The relevance of organizational, social and technical barriers in the public sector. E-Learning and openness in education are receiving ever increasing attention in businesses as well as in academia. However, these practices have only to small extent been introduced in public administrations. The study addresses this gap by presenting a literature review on Open Educational Resources OER and E-Learning in the public sector. The main goal of the article …

Knowledge managementbusiness.industryE-learning (theory)Public sectorOutcome (game theory)Open educational resourcesHuman-Computer InteractionOpen educationArts and Humanities (miscellaneous)Political scienceOpenness to experienceRelevance (information retrieval)businessGeneral PsychologyComputers in Human Behavior
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FCA-based knowledge representation and local generalized linear models to address relevance and diversity in diverse social images

2019

Abstract In social image retrieval, the main goal is to offer a relevant but also diverse result set of images to the user. To address relevance and diversity at the same time, we propose a multi-modal procedure. This approach deals with the diversification problem using a two-step procedure based on the application of Formal Concept Analysis (FCA) to organize the text content of the images, followed by a Hierarchical Agglomerative Clustering (HAC) step to find the topics addressed by the images. FCA detects the latent concepts covered by the images in the result set, organizing them according to these concepts. In the second step, clustering is carried out to group together the ones with a…

Knowledge representation and reasoningComputer Networks and CommunicationsComputer scienceRelevance feedback020206 networking & telecommunications02 engineering and technologycomputer.software_genreImage (mathematics)RankingHardware and Architecture020204 information systems0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Formal concept analysisRelevance (information retrieval)Data miningCluster analysiscomputerSoftwareFuture Generation Computer Systems
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Teacher education programmes in physical education and sport at master’s level: Opportunities and challenges

2021

I denne artikkelen undersøker vi fremtidige muligheter og utfordringer i femårige lærerutdanninger i kroppsøving og idrettsfag på masternivået, i lys av kvalitet og relevans for fagfeltet. I undersøkelsen ble det benyttet en kvalitativ tilnærming med to metodiske innganger. Først ble et utvalg på 96 masteroppgaver i perioden 2015–2018 innenfor fagfeltet kroppsøving og idrettsfag brukt for å undersøke hva slags tematikker, teoretiske tilnærminger og metoder som er benyttet i masteroppgavene. Med bakgrunn i denne undersøkelsen ble det gjennomført en workshop med et utvalg lærerutdannere for å få innsikt i hva de oppfattet som fremtidige muligheter og utfordringer i femårig lærerutdanning i fa…

Kroppsøvingkvalitet og relevansTeacher educationmedia_common.quotation_subjectRelevancelcsh:Education (General)EducationPhysical educationMaster’s thesesPhysical educationPedagogyLærerutdanningerRelevance (information retrieval)Quality (business)Sportmedia_commonlærerutdanningMasteroppgaverKvalitetVDP::Samfunnsvitenskap: 200::Pedagogiske fag: 280QualityTeacher educationPeer reviewkroppsøving og idrettsfag:Samfunnsvitenskap: 200::Pedagogiske fag: 280::Fagdidaktikk: 283 [VDP]masteroppgaverlcsh:L7-991Psychology:Samfunnsvitenskap: 200::Samfunnsvitenskapelige idrettsfag: 330 [VDP]RelevansIdrettsfag
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Feature Ranking of Large, Robust, and Weighted Clustering Result

2017

A clustering result needs to be interpreted and evaluated for knowledge discovery. When clustered data represents a sample from a population with known sample-to-population alignment weights, both the clustering and the evaluation techniques need to take this into account. The purpose of this article is to advance the automatic knowledge discovery from a robust clustering result on the population level. For this purpose, we derive a novel ranking method by generalizing the computation of the Kruskal-Wallis H test statistic from sample to population level with two different approaches. Application of these enlargements to both the input variables used in clustering and to metadata provides a…

Kruskal-Wallis testComputer scienceCorrelation clusteringPopulation02 engineering and technologycomputer.software_genreMachine learning01 natural sciencesRanking (information retrieval)010104 statistics & probabilityKnowledge extractionCURE data clustering algorithmpopulation analysisRanking SVM0202 electrical engineering electronic engineering information engineeringTest statistic0101 mathematicseducational knowledge discoveryeducationCluster analysiseducation.field_of_studybusiness.industryRanking020201 artificial intelligence & image processingData miningArtificial intelligencerobust clusteringbusinesscomputer
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