Search results for "Data Science"

showing 10 items of 495 documents

The shape of eParticipation:Characterizing an emerging research area

2008

Author's version of an article published in Government Information Quarterly, 25 (2008), 400-428. Also available from the publisher at: http://dx.doi.org/10.1016/j.giq.2007.04.007 The phenomenon of eParticipation is receiving increasing attention, demonstrated by recent technology implementations, experiments, government reports, and research programs. Understanding such an emerging field is a complex endeavor because there is no generally agreed upon definition of the field, no clear overview of the research disciplines or methods it draws upon, and because the boundaries of the field are undecided. Using conventional literature review techniques, we identify 131 scientific articles consid…

Structure (mathematical logic)GovernmenteGovernanceSociology and Political Sciencee-participationComputer scienceField (Bourdieu)eGovernmentSample (statistics)Library and Information SciencesData scienceWorld Wide WebeParticipation; eGovernance; eDemocracy; eGovernmentPhenomenoneParticipationInformation systemVDP::Social science: 200::Library and information science: 320::Information and communication systems: 321eDemocracyLawImplementation
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The integration of information technologies in the knowledge based organizations

2016

Relations between the users' expertise, complexity of tasks to be solved by knowledge-based organizations and mission of smart information systems, is a multi-dimensional structure that should provide the necessary conceptual framework of sustainable integrated smart development. The users of smart information systems face a variety of problems, such as: system access, data recovery, identifying and retrieving a specific document and its contents, and difficulties associated with understanding and interpreting of the used system on stages and methods following to be used, respectively problems on understanding the meaning of information provided. Using smart information systems and smart da…

Structure (mathematical logic)Knowledge managementbusiness.industrySimple Modular Architecture Research ToolComputer science0211 other engineering and technologiesInformation technology02 engineering and technology021001 nanoscience & nanotechnologyData scienceData modelingVariety (cybernetics)Knowledge-based systemsConceptual framework021105 building & constructionInformation system0210 nano-technologybusiness2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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An analysis of ego network communities and temporal a affinity for online social networks

2017

The wide diffusion of Online Social Networks (OSNs) presents several advantages, like the definition of simple tools for information sharing and spreading. However, OSNs present also some drawbacks, one of the most important one is the problem of privacy disclosures. Distributed Online Social Networks (DOSNs), which decentralize the control of the social network, have been recently proposed to overcome these issues. The decentralization of the control has issued several challenges, one of the main ones is guaranteeing data availability without relying on a central server. To define users’ data allocation strategies, the knowledge of the structure of the ego network and of the user’ temporal…

Structure (mathematical logic)SIMPLE (military communications protocol)Social networkCommunity detectionSettore INF/01 - Informaticabusiness.industryComputer Networks and CommunicationsInformation sharingControl (management)020206 networking & telecommunications02 engineering and technologyData scienceDecentralizationField (computer science)Data availabilityOrder (exchange)020204 information systems0202 electrical engineering electronic engineering information engineeringSociologyP2P social networkSocial sciencebusinessTemporal affinityDOSN
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A Proposal to Model Ancient Silk Weaving Techniques and Extracting Information from Digital Imagery - Ongoing Results of the SILKNOW Project

2019

Three dimensional (3D) virtual representations of the internal structure of textiles are of interest for a variety of purposes related to fashion, industry, education or other areas. The modeling of ancient weaving techniques is relevant to understand and preserve our heritage, both tangible and intangible. However, ancient techniques cannot be reproduced with standard approaches, which usually are aligned with the characteristics of modern, mechanical looms. The aim of this paper is to propose a mathematical modelling of ancient weaving techniques by means of matrices in order to be easily mapped to a virtual 3D representation. The work focuses on ancient silk textiles, ranging from the 15…

Structure (mathematical logic)Scope (project management)Computer sciencebusiness.industry020207 software engineering02 engineering and technologyData scienceGeneralLiterature_MISCELLANEOUSVariety (cybernetics)Technical drawing0202 electrical engineering electronic engineering information engineeringmedia_common.cataloged_instance020201 artificial intelligence & image processingEuropean unionWeavingbusinessmedia_commonComputational Science – ICCS 2019 - 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V
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Social Networks as an Approach to Systematic review

2019

Whether we are in the process of designing a new empirical study or our interest lies in conducting a review study, a solid literature review is needed to acquire an accurate idea of the current state of affairs with regard to a phenomenon of interest. Even if we can find contributions to the literature by entering keywords in search engines, we need tools that can help us to structure all the contributions encountered in terms of their interrelations and impact. This article presents social network analysis as such a tool. Although social network analysis is commonly thought of as a method in a particular empirical study, where individuals and groups of participants are studied, we can vie…

Structure (mathematical logic)lcsh:R5-920Empirical researchComputer scienceProcess (engineering)Field (Bourdieu)State of affairsContext (language use)lcsh:Medicine (General)CitationSocial network analysisData scienceHealth Professions Education
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An Analysis of the Internal Organization of Facebook Groups

2019

With the rapid development and growth of online social networks (OSNs), researchers have been pushed forward to improve the knowledge of these complex networks by analyzing several aspects, such as the types of social media, the structural properties of the network, or the interaction patterns among users. In particular, a relevant effort has been devoted to the study and identification of cohesive groups of users in OSNs (also referred as communities) because they are the basic building block of each OSN. While several research works on groups in OSNs have mainly focused on identifying the types of groups and the contents created by their members, the analysis of internal organizations of …

Structure (mathematical logic)social networksExploitSettore INF/01 - InformaticaComputer science020206 networking & telecommunications02 engineering and technologyComplex networkData scienceGroup organization; network centrality; social networks; tie strengthHuman-Computer InteractionIdentification (information)tie strengthModeling and Simulation0202 electrical engineering electronic engineering information engineeringGroup organizationnetwork centrality020201 artificial intelligence & image processingSocial mediaUse casesocial networkSocial network analysisSocial Sciences (miscellaneous)Internal organization
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Knowledge Extraction from Healthcare Data Using User-Adaptable Keywords-Based Query Language

2020

Nowadays, the volume of the information gathered by any organization increases more and more rapidly. It is essential to be able to use this information efficiently for it to benefit the operation of the organization. There is no point of gathering the information if it is not converted into knowledge. The knowledge extraction process becomes the backbone of any successful organization. Moreover, the extraction of the knowledge must be quick and efficient, so that the newly-obtained knowledge can be put in use at once. The problem addressed in this paper is how to allow the domain expert to extract the knowledge from their information systems themselves without involving the third party in …

Subject-matter expertPoint (typography)Knowledge extractionComputer scienceProcess (engineering)Information systemQuery languageData scienceNatural languageDomain (software engineering)Proceedings of the 2020 the 4th International Conference on Information System and Data Mining
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Fusing storage and computing for the domain of business intelligence and analytics: research opportunities

2015

With the growing importance of external and shared data, the set of requirements for Business Intelligence and Analytics (BIA) is shifting. Current solutions still come with shortcomings, esp. In multi-stakeholder environments where sensitive content is exchanged. We argue that a new level in the evolution of BIA can be unlocked by tearing down the barriers between storage and computing based on upcoming storage technologies. In particular, we propose a revitalization of ideas from object-oriented databases. We present results from a joint project that aimed at delineating design options for BIA solutions built upon this idea. The paper outlines the interplay of various architectural layers…

Supply chain managementCompetitive intelligenceComputer sciencebusiness.industryObject-oriented databasesCloud computingStorage managementData scienceData modelingDomain (software engineering)Business intelligenceBases de dades orientades a objectesAnalyticsBusiness intelligenceCompetitive intelligenceBusiness logicbusiness:Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC]Intel·ligència competitiva
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Circular economy business models: The state of research and avenues ahead

2020

This study investigates how the circular economy and business models are related in the current business and management literature. Based on bibliometric analytical procedures, 253 articles were retrieved from the Scopus, Web of Science, and ScienceDirect scientific databases. The articles were analyzed according to network analysis principles, and key terms were mapped into a network. We used VOSviewer to build the network, explore the most‐researched terms and their relationships, and identify less‐explored terms and research gaps. We furthermore conducted a qualitative review of selected publications to provide an illustration of quantitative results and delve deeper into the research to…

Sustainable developmentComputer scienceStrategy and ManagementCircular economySupply chain05 social sciencesGeography Planning and DevelopmentScopus010501 environmental sciencesManagement Monitoring Policy and LawBusiness modelBibliometricsReuse01 natural sciencesData scienceResource (project management)0502 economics and businessBusiness and International Management050203 business & management0105 earth and related environmental sciencesBusiness Strategy and the Environment
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What Is Life?

2014

Despite the difficulty of defining a living being, biological sciences have considerably advanced. Today many authors feel the need to revisit the issue of the definition of life, among other reasons, because we are very close to have a second example of life. This life will not be the direct result of more than 3,500 million years of evolution, but the outcome of a project of synthetic biology in a laboratory. The fact that evolution has explored only a small part of the possible may pave the way towards alternative artificial lives. Focusing on the nature of life makes us more critical with the Cartesian comparisons between cells and machines. At the same time, progress in synthetic biolo…

Synthetic biologyComputer scienceExtraterrestrial lifeData scienceOutcome (game theory)Biological sciences
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