Search results for "data science"

showing 10 items of 495 documents

Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017

2020

Technologies, such as Wireless Sensor Networks (WSN) and Internet of Things (IoT), have captured the imagination of researchers, businesses, and general public, due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. In an ongoing research effort to highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a five-year period from 2013 t…

IoTInformation Systems and ManagementComputer sciencebusiness.industryReal-time computingScopusreviewData scienceWork relatedWSNField (computer science)lcsh:ZComputer Science Applicationslcsh:Bibliography. Library science. Information resourcesSoftware deploymentelectrical_electronic_engineeringResearch studiesdeploymentUse caseInternet of ThingsbusinessWireless sensor networkPublicationInformation SystemsData
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Of mice and models: improved animal models for biomedical research.

2002

The ability to engineer the mouse genome has profoundly transformed biomedical research. During the last decade, conventional transgenic and gene knockout technologies have become invaluable experimental tools for modeling genetic disorders, assigning functions to genes, evaluating drugs and toxins, and by and large helping to answer fundamental questions in basic and applied research. In addition, the growing demand for more sophisticated murine models has also become increasingly evident. Good state-of-principle knowledge about the enormous potential of second-generation conditional mouse technology will be beneficial for any researcher interested in using these experimental tools. In thi…

Isopropyl ThiogalactosideMice KnockoutTranscriptional ActivationReceptors SteroidIntegrasesPhysiologybusiness.industryResearchMice TransgenicBiologyTetracyclineData scienceBiotechnologyMiceViral ProteinsCytochrome P-450 Enzyme SystemDNA NucleotidyltransferasesGene TargetingModels AnimalGeneticsAnimalsApplied researchThe InternetbusinessPhysiological genomics
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Life-Based Design

2016

Technical artefacts should exist to bring added value and quality to people’s lives. HTI design should, therefore, be considered in a much broader context than merely the usage of technology. It should be based on an understanding of people’s lives and well-grounded design methods and tools, which can investigate life and apply this knowledge to the design work. The conceptual model of life-based design (LBD) is based on segregating unified systems of actions called forms of life. Investigating the structure of actions and related facts relevant to particular forms of life, in addition to the values that people follow, is the core tool of LBD. The knowledge produced constitutes a template f…

Iterative designComputer sciencemedia_common.quotation_subjectConceptual modelAdded valueContext (language use)Design thinkingQuality (business)Design methodsData scienceDesign technologymedia_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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Natural Language-Based Knowledge Extraction in Healthcare Domain

2019

There is a growing amount of data in the databases of hospitals. These data could be exploited to alleviate the decision-making process of hospital managers, physicians and researchers. However, these types of end-users often lack the expertise necessary for extracting those data from the database. Several approaches exist in the field of how to allow non-programmers writing queries in a convenient manner, but none of them has yet reached fully satisfactory results. This paper sketches a solution to this problem by introducing means for writing queries in a keywords-containing natural language thus alleviating the query writing process for the end-user. Introducing this approach in the know…

Knowledge extractionComputer sciencebusiness.industryProcess (engineering)Health careWriting processQuery languagebusinessData scienceField (computer science)Natural languageDomain (software engineering)Proceedings of the 2019 3rd International Conference on Information System and Data Mining
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VisAdapt: A Visualization Tool to Support Climate Change Adaptation.

2017

In this article we present the design and implementation of the web-based visualization tool VisAdapt, developed to support homeowners in the Nordic countries to assess anticipated climate change and climate related risks which are expected to negatively impact their living conditions. The tool guides the user through a three-step visual exploration process to facilitate the exploration of risks and adaptation measures, specifically adapted to the user. VisAdapt has been developed over the course of two years in close collaboration with domain experts and end users to ensure the validity of the included data and the efficiency of the visual interface. Although VisAdapt is designed for Nordi…

Knowledge management010504 meteorology & atmospheric sciencesProcess (engineering)End userComputer sciencebusiness.industryClimate change020207 software engineering02 engineering and technology01 natural sciencesComputer Graphics and Computer-Aided DesignData scienceVisualizationPeer reviewComputer graphics0202 electrical engineering electronic engineering information engineeringDesign processClimate change adaptationScience technology and societybusinessInteractive visualizationSoftware0105 earth and related environmental sciencesUser-centered designIEEE computer graphics and applications
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Knowledge management challenges in knowledge discovery systems

2006

Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting the most appropriate technique(s) for a problem at hand, since in the real domain area it is infeasible to perform a comparison of all applicable techniques. The main goal of this paper is to consider the limitations of data-driven approaches and propose a knowledge-driven approach to enhance the use of multiple data-mining strategies in a knowledge discovery system. We introduce the concept of (meta-) knowledge management, which is aimed to organize a systematic process of (meta-) knowledge capture and refinement o…

Knowledge managementCommonsense knowledgebusiness.industryComputer scienceData managementKnowledge engineeringOpen Knowledge Base ConnectivityMathematical knowledge managementData scienceKnowledge-based systemsKnowledge extractionKnowledge basePersonal knowledge managementSoftware miningDomain knowledgebusiness
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The Use of Experts Panels in ERP Cost Estimation Research

2011

Published version of a chapter in the book: Enterprise information systems. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-16419-4_10 This paper is an effort towards illustrating the use of expert panel (EP) as a mean of eliciting knowledge from a group of enterprise resource planning (ERP) experts as an exploratory research. The development of a cost estimation model (CEM) for ERP adoptions is very crucial for research and practice, and that was the main reason behind the willingness of experts to participate in this research. The use of EP was very beneficial as it involved various data collection and visualisation techniques, as well as…

Knowledge managementData collectionCost estimatebusiness.industryTotal costComputer scienceExploratory researchVDP::Technology: 500::Information and communication technology: 550Data scienceSurvey methodologyCost driverInformation systembusinessEnterprise resource planningVDP::Social science: 200::Economics: 210::Business: 213
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The use of gamification in education: a bibliometric and text mining analysis

2016

The use of games in education represents a promising tool to motivate and engage students in their learning process. Most of previous research on the topic has focused to develop theoretical frameworks or to conduct experiments as a means to analyse learning outcomes such as knowledge retention, problem-solving skills gains or attitudes toward game-based learning. Nevertheless, little research has focused on providing a comprehensive literature review, which will help researchers to better understand how this stream of research has evolved over the last years. In this study, we use a bibliometric, social network and text mining analysis in order to provide useful up-to-date information to p…

Knowledge managementData collectionSocial networkProcess (engineering)business.industry05 social sciences050301 educationBibliometricsData scienceComputer Science ApplicationsEducationVariety (cybernetics)Interpersonal relationshipEducational research0502 economics and businessActive learningbusinessPsychology0503 education050203 business & managementJournal of Computer Assisted Learning
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Creating Individual Journal Rankings Based on a Community Approach

2010

Selecting appropriate publication outlets is crucial to any researcher. Journal rankings can be used to guide the selection, but their usefulness may be limited for particular audiences. In this paper, it is argued that especially young researchers and researchers in interdisciplinary fields can benefit from targeting research efforts to a specific community. This can be facilitated by an individually built journal ranking that exploits a community building perspective and by a more transparent process of use. The approach introduced here is based on an analysis of both traditional journal rankings and behavior of academic communities. As a result, we present a procedure for building and us…

Knowledge managementRankingComputer sciencebusiness.industryProcess (engineering)businessData scienceComposition (language)Journal ranking2010 43rd Hawaii International Conference on System Sciences
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