Search results for "Analytics"

showing 10 items of 256 documents

Decoding Children's Social Behavior

2013

We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe met…

Behavior Psychology Dataset Video analysis Speech Analysis AutismInter-action protocolsSocial and communicative behaviorInteraction protocol02 engineering and technologycomputer.software_genreAnnan data- och informationsvetenskapSession (web analytics)Activity recognitionTechnical challenges0202 electrical engineering electronic engineering information engineeringmedicineSocial behaviorAudio signal processingMultimediabusiness.industryDevelopmental disorders020207 software engineeringmedicine.diseaseSemi-structuredResearch questionsActivity recognitionProblem domainKey (cryptography)Autism020201 artificial intelligence & image processingArtificial intelligencePsychologybusinessOther Computer and Information SciencecomputerCognitive psychologySocial behavior2013 IEEE Conference on Computer Vision and Pattern Recognition
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Blended Learning als Spielfeld für Learning Analytics und Educational Data Mining

2020

Der Einsatz digitaler Lernformate im Blended Learning bietet demnach Chancen in mindestens zwei Bereichen. Zum einen konnen digitale Lernformate direkt die Lernprozesse von Studierenden gunstig beeinflussen, ihre Leistungen verbessern und zudem positive Effekte auf vielen weiteren Ebenen wie der Motivation oder des Selbstkonzeptes bewirken. Zum anderen generieren digitale Lernformate eine Fulle von Daten in vielfaltiger Gestalt. Studierende erzeugen bei der Arbeit mit digitalen Werkzeugen Nutzungsdaten, wie Verweildauern und Aktivitatsprofile, sie produzieren Leistungsdaten aus digitalen Aufgaben, sie hinterlassen Textbeitrage in Foren und Chats. All diese Daten konnen genutzt werden, um mi…

Blended learningPolitical scienceLearning analyticsLibrary scienceEducational data mining
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The state of Business Intelligence : in Finnish enterprises

2015

Business Intelligence (BI) has recently been of interest both in information technology and accounting fields of research. This owes at least partly to how organisations today have increasing amounts of data and information at their disposal and they are attempting to reap benefits and competitive advantage from them. This study focuses on large Finnish enterprises and examines how they are applying business intelligence today. Especially the process nature of transforming data in to knowledge is under scrutiny and how BI is utilized in decision making. The results indicate that organisations are perceiving benefits from utilising their BI processes and while the technological factors are o…

Business Intelligencekirjanpitobig dataBIpäätöksentekoDManalyticsaccountinglaskentatoimiDecision making
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Traditional Enterprise Business Intelligence Software Compared to Software as a Service Business Intelligence

2016

IntroductionBusiness Intelligence is a broad field of study. The major thrust of business intelligence theory analyzes certain factors to make highquality decisions. These factors include customers, competitors, business partners, economic environment and internal operations. Business Intelligence has the power to change the way people work, so that enterprises can compete more effectively and efficiently.A successful business intelligence solutions and successful implementation holds the key to the technological innovations together with the people, processes and culture of an organization to achieve a competitive and profitable BI strategy.Business Intelligence (BI) is the process of acqu…

Business ProcessesBusiness requirementsData WarehouseKnowledge managementlcsh:Computer engineering. Computer hardwarebusiness.industryBusiness ruleCloud Datalcsh:TK7885-7895Business modelBusiness Intelligence Solutionslcsh:Zlcsh:Bibliography. Library science. Information resourcesBusiness process managementProcessBusiness analyticsNew business developmentBusiness intelligenceBusiness casebusinessInformatică economică
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Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model

2021

Predicting student performance as early as possible and analysing to which extent initial student behaviour could lead to failure or success is critical in introductory programming (CS1) courses, for allowing prompt intervention in a move towards alleviating their high failure rate. However, in CS1 performance prediction, there is a serious lack of studies that interpret the predictive model’s decisions. In this sense, we designed a long-term study using very fine-grained log-data of 2056 students, collected from the first two weeks of CS1 courses. We extract features that measure how students deal with deadlines, how they fix errors, how much time they spend programming, and so forth. Subs…

COMPUTADOR NO ENSINOGeneral Computer ScienceComputer scienceProcess (engineering)business.industryGeneral EngineeringFailure rateMachine learningcomputer.software_genreField (computer science)Identification (information)Black boxLeverage (statistics)General Materials ScienceArtificial intelligencePrescriptive analyticsConstruct (philosophy)businesscomputerIEEE Access
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An Information Systems Design Product Theory for Software Project Estimation and Measurement Systems

2009

There is relatively little research on software Project Estimation and Measurement Systems (PEMS). Commercial PEMS vary in functionality and effective- ness. Their intended users thus do not know what to ex- pect from PEMS and how to evaluate them. This paper creates an information system design product theory for the class of PEMS that prescribes the meta-requirements, the meta-design, and applicable theories for all products within the class. Meta-requirements and the meta-design are derived from the project estimation and measurement literature, experiences obtained during more than ten years of empirical work in Finnish Software Measurement Association, and a commercially available PEMS.

COSMIC software sizingComputer scienceSoftware walkthroughSoftware peer reviewSoftware development processSoftware analyticsSoftwareSoftware sizingSoftware systemSoftware verification and validationSoftware measurementSoftware design descriptionEstimationSocial software engineeringbusiness.industrySoftware developmentSoftware metricSoftware deploymentSystems development life cyclePersonal software processSoftware constructionSoftware designPackage development processSoftware engineeringbusinessSoftware project management2009 42nd Hawaii International Conference on System Sciences
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Experimental conditions for respiration and growth studies of F0 and F1 larval and juvenile European seabass Dicentrarchus labrax

2022

Water parameters in the 2 years before spawning of F0 (08.02.2016-06.03.2018) and during larval and juvenile phase of F1: Larval period until 17.05.2018 (48 dph, 900 dd) and 01.06.2018 (63 dph, ~900 dd) for warm and cold life condition respectively, for the juveniles until 28.09.2018 (180 dph, ~4000 dd) and 12.02.2019 (319 dph, ~5100 dd) for warm and cold conditioned fish respectively. Means ± s.e. over all replicate tanks per condition. Temperature (Temp.), pH (free scale), salinity, oxygen and total alkalinity (TA) were measured weekly in F1 and monthly in F0; sea water (SW) measurements were conducted in 2017 and 2018. Water parameters during larval and early juvenile phase of F0: Larval…

Calculated by CO2sys_xls_program Lewis and WallaceSalinityAlkalinityLife stageType of studyTemperature waterGermanyCalculatedAlkalinity totalSalinity standard errortotallarval growthteleostexperiment2006pH2007 with purified m cresol purpleOcean acidificationMeasured spectrophotometrically Dickson et alTemperatureWeilheimPartial pressure of carbon dioxide (water) at sea surface temperature (wet air) standard errorSilicatedissolvedLaboratory experimentSEAL AA3 segmented flow autoanalyzerSilicate standard errorstandard errorMultiprobeEarth System ResearchWTW 340imetabolic rateswaterGenerationOxygen dissolvedMultiprobe WTW 340iPhosphateocean warmingAlkalinity total standard errorjuvenile growthCarbon dioxide (water) partial pressurepH meter (WTW 3110) with electrode (WTW Sentix 41)DATE TIMEWTW Oxi 340i probeTemperature water standard errorCarbon dioxide water partial pressurepH standard errorXylem Analytics GermanySalinometer (WTW LF325 Xylem Analytics Germany Weilheim Germany)Calculated by CO2sys_xls_program (Lewis and Wallace 2006)OxygenTreatmentDATE/TIMEPartial pressure of carbon dioxide water at sea surface temperature wet airSalinometer WTW LF325Oxygen dissolved standard errorMeasured spectrophotometrically (Dickson et al. 2007) with purified m-cresol purplepH meter WTW 3110 with electrode WTW Sentix 41Phosphate standard error
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Clinical use of RNA sequencing and oncobox analytics to predict personalized targeted therapeutic efficacy.

2020

e13676 Background: Analysis of mutation profiles in cancer patients does not provide clinical benefits in 80-90% of cases in the US (Marquart et al., 2018). Gene expression analysis potentially complements standard detection of clinically relevant mutations. Methods: 239 adult late-stage cancer patients. RNA gene expression sequencing completed on solid tumor samples using FFPE blocks. Patient mRNA profiles were analyzed using Oncobox bioinformatics, prioritizing target drugs according to their personalized predicted efficacy. Summary reports were provided to oncologists and resulting treatment selection and outcomes were assessed. Results: As of February 2020, feedback was received from p…

Cancer ResearchOncologybusiness.industryAnalyticsGene expressionMutation (genetic algorithm)medicineCancerRNAComputational biologymedicine.diseasebusinessJournal of Clinical Oncology
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Within-session sensitization and between-session habituation: A robust physiological response to repetitive painful heat stimulation

2011

Habituation and sensitization are important behavioural responses to repeated exposure of painful stimuli. Whereas within-session response dynamics to nociceptive stimuli is well characterized, little is known about long-term behaviour due to repetitive nociceptive stimulation. We used a standardized longitudinal heat pain paradigm in 66 healthy participants, 21 patients with chronic low back pain and 22 patients with depression who received daily sessions of 60 suprathreshold heat stimuli (48 °C each) for eight consecutive days. All three groups showed the same response: Repeated painful stimulation over several days resulted in substantially decreased pain ratings to identical painful sti…

Chronic painStimulationmedicine.diseaseSession (web analytics)Anesthesiology and Pain Medicinemedicine.anatomical_structureNociceptionAnesthesiamedicineHabituationPsychologySensitizationDepression (differential diagnoses)Physical StimulationEuropean Journal of Pain
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Qualitative Evaluation of Emotional Intelligence During Conversation Classes

2014

For centuries the main emphasis in education has been placed upon cognitive abilities. Emotional aspects have long been neglected and on occasion not even considered at all. Nevertheless, it is not only parents at present who have to assume responsibility for shaping emotions of their children. The introduction of emotional intelligence in the school curriculum is seemingly inevitable and promises to bring about a radical change in educating the whole human being. This study examines the impact of emotional intelligence on the first year students’ communicative competence. The author of this article created a training program entitled ‘Activities for Developing Emotional Intelligence in SLA…

Communicative competenceEmotional intelligencemedia_common.quotation_subjectComputingMilieux_COMPUTERSANDEDUCATIONConversationEmpathyCognitionPsychologyCurriculumSession (web analytics)Developmental psychologymedia_commonEmotional competence
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