Search results for "Data Science"

showing 10 items of 495 documents

JABB: Moving Towards The Future.

2012

Computer sciencebusiness.industryPrimary stabilityBiomedical EngineeringBiophysicsBioengineeringBiocompatible MaterialsGeneral MedicineData scienceBiomechanical PhenomenaBiomaterialsText miningTotal knee arthroplastyCruciate retainingOriginal ArticlePeriodicals as TopicbusinessTransversal support tibial plateauForecastingJournal of applied biomaterialsfunctional materials
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Research opportunities in performance measurement in public utilities regulation

2015

Purpose – The purpose of this paper is to propose a method to choose a set of scientific articles about performance measurement in public utilities regulation. The method is designed to identify references with high academic relevance in databases accessed via the internet, and, through these articles, to perform a mapping of these publications and conduct a systemic analysis. Design/methodology/approach – The study is characterized as exploratory and descriptive with a qualitative and quantitative approach. Incorporates an inductive logic, and draws on primary and secondary data sources. The research involves the application of a technical procedure for selection and study of selected art…

Computer sciencebusiness.industryProcess (engineering)Strategy and ManagementSecondary dataGeneral Business Management and AccountingData scienceSet (abstract data type)Identification (information)Content analysisRelevance (information retrieval)The InternetPerformance measurementMarketingbusinessInternational Journal of Productivity and Performance Management
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Collaborative Activities and Methods

2016

Having described the context for collaborative activities (in Chap. 1), and reviewed the basic aspects of computer supported decision-making activities (in Chap. 2), we will present in this section several specific methods used in collaborative decision making. The methods and techniques presented in the chapter are independent of the information technologies upon they are instantiated.

Computer sciencebusiness.industrySection (typography)Information technologyPlurality ruleContext (language use)02 engineering and technologyCondorcet methodData scienceGroup decision-makingComputer supported020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessSocial choice theory
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Multiperspective Evaluation of Reference Models – Towards a Framework

2003

Within the information systems field, reference models have been known for many years. Despite the relevance of reference model quality, little research has been done on their systematic evaluation. Based on an analysis of prior work on reference model quality, we propose a framework for the multiperspective evaluation of reference models. The framework comprises 15 perspectives. Each perspective is discussed with respect to its strengths and limitations. As well, we provide examples of the types of research that have already been undertaken on each perspective.

Computer sciencebusiness.industrymedia_common.quotation_subjectPerspective (graphical)Data scienceField (computer science)Capability Maturity ModelWork (electrical)Information systemQuality (business)Relevance (information retrieval)Artificial intelligencebusinessReference modelmedia_common
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Publication Data Integration as a Tool for Excellence-Based Research Analysis at the University of Latvia

2017

The evaluation of research results can be carried out with different purposes aligned with strategic goals of an institution, for example, to decide upon distribution of research funding or to recruit or promote employees of an institution involved in research. Whereas quantitative measures such as number of scientific papers or number of scientific staff are commonly used for such evaluation, the strategy of the institution can be set to achieve ambitious scientific goals. Therefore, a question arises as to how more quality oriented aspects of the research outcomes should be measured. To supply an appropriate dataset for evaluation of both types of metrics, a suitable framework should be p…

Computer sciencemedia_common.quotation_subject05 social sciences050905 science studiescomputer.software_genreData scienceSet (abstract data type)Data modelExcellenceData qualityInformation systemQuality (business)Metric (unit)0509 other social sciences050904 information & library sciencescomputermedia_commonData integration
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Using eye-tracking to assess sourcing during multiple document reading: A critical analysis

2018

During the last 15 years, there have been some efforts to extend the use of eye - tracking to researching reading in complex contexts, such as the reading of multiple documents. The research community involved in this extension has been interested in higher - order comprehensio n processes occurring in complex reading contexts, such as sourcing, defined as the processes of attending to, representing, evaluating, and using available or accessible information about the sources of textual content. In this article, we argue that exte nding eye - tracking research to investigate more complex reading contexts has been made without critically reflecting on its validity in those contexts . Specific…

Computer sciencemedia_common.quotation_subjectEye movementData scienceNewspaperComprehensionStrategic sourcingReading comprehensionReading (process)Eye trackingReliability (statistics)Lecturamedia_commonfrontline Learning Research
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Reputation or peer review? The role of outliers

2018

We present an agent-based model of paper publication and consumption that allows to study the effect of two different evaluation mechanisms, peer review and reputation, on the quality of the manuscripts accessed by a scientific community. The model was empirically calibrated on two data sets, mono- and multi-disciplinary. Our results point out that disciplinary settings differ in the rapidity with which they deal with extreme events—papers that have an extremely high quality, that we call outliers. In the mono-disciplinary case, reputation is better than traditional peer review to optimize the quality of papers read by researchers. In the multi-disciplinary case, if the quality landscape is…

Computer sciencemedia_common.quotation_subjectLibrary and Information Sciences050905 science studiesField (computer science)ArticlePeer reviewOutliersQuality (business)Information filtering systemmedia_commonReputationAgent-based simulationPoint (typography)05 social sciencesGeneral Social SciencesData scienceComputer Science ApplicationsReputation systemOutlier0509 other social sciencesInformation filter050904 information & library sciencesDisciplineMulti-disciplinary scienceReputation
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iOS Applications Testing

2015

<p class="R-AbstractKeywords"><span lang="EN-US">Mobile applications conquer the world, but iOS devices hold the major share of tablets market among the corporate workers. This study aims to identify the aspects (i.e. features and/ or limitations) that influence the testing of the native iOS applications. The aspects related to general mobile applications testing are identified through the systematic literature review of academic sources. iOS applications testing aspects are identified through the review of non-academic (multivocal) literature sources. The identified aspects are merged and discussed in detail using the reviewed sources and based on the author’s professional expe…

Computer sciencemedia_common.quotation_subjectMobile computingData scienceSoftware qualityiOS application; mobile application; testing; quality; verification and validation; systematic literature review;World Wide WebSystematic reviewiOS applications; mobile computing; software testing; software qualityOrder (exchange)Software testingQuality (business)Software verification and validationmedia_common
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Managing sensor data streams in a smart home application

2020

A challenge in developing an ambient activity recognition system for use in elder care is finding a balance between the sophistication of the system and a cost structure that fits within the budgets of public and private sector healthcare organisations. Much activity recognition research in the context of elder care is based on dense networks of sensors and advanced methods, such as supervised machine learning algorithms. This paper presents the data processing aspects of an activity recognition system based on a simpler, knowledge-based unsupervised approach, designed for a sparse network of sensors. By structuring sensor data management as a streaming system, we provide a simple programmi…

Computer sciencesmart homeComputer Networks and CommunicationsData managementsensor data streamskotihoitoContext (language use)sensor data processing02 engineering and technology01 natural sciencesActivity recognitionwireless sensor networkHome automationälytalotpassive infrared sensor0202 electrical engineering electronic engineering information engineeringactivity recognitionanturitElectrical and Electronic EngineeringgeroteknologiaData stream miningbusiness.industry010401 analytical chemistryPublic sectorsensoriverkothealthcare020206 networking & telecommunicationsData sciencesensor data managementWSNsensor data0104 chemical sciencesComputer Science ApplicationsPIRControl and Systems EngineeringProgramming paradigmälytekniikkabusinesshome careWireless sensor networkInternational Journal of Sensor Networks
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Data Mining in Cancer Research [Application Notes

2010

This article is not intended as a comprehensive survey of data mining applications in cancer. Rather, it provides starting points for further, more targeted, literature searches, by embarking on a guided tour of computational intelligence applications in cancer medicine, structured in increasing order of the physical scales of biological processes.

ComputingMethodologies_PATTERNRECOGNITIONCancer MedicineArtificial IntelligenceComputer scienceComputational intelligenceData miningcomputer.software_genreData sciencecomputerTheoretical Computer ScienceIEEE Computational Intelligence Magazine
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