Search for dissertations about: "valid data"

Showing result 1 - 5 of 493 swedish dissertations containing the words valid data.

2. 1. The Making of Valid Data : People and Machines in Genetic Research Practice

   Author : Corinna Kruse; Boel Berner; Minna Salminen Karlsson; Anne-Jorunn Berg; Linköpings universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; biomedicine; genetic research; laboratory practices; cultural practice; professional skill; uncertainty; valid data; humans – machines; objectivity – subjectivity; ethnography; biomedicin; genetisk forskning; laboratoriepraktiker; kulturell praktik; yrkesskicklighet; osäkerhet; giltiga data; människor – maskiner; objektivitet – subjektivitet; etnografi; Technology and social change; Teknik och social förändring;

   Abstract : Avhandlingen undersöker ett centralt steg inom vetenskapliga praktiker: hur laboratorieprov översätts till data som anses giltiga och användbara av forskargemenskapen. Baserat på ett multilokalt fältarbete bestående av observationer och intervjuer i laboratorier för genetisk forskning, visas i avhandlingen hur laboratoriepersonalens yrkesskicklighet, samt normer och ideal om vetenskaplig forskning, formade deras praktiker av att producera giltiga data. READ MORE

4. 2. Data mining of geospatial data: combining visual and automatic methods

   Author : Urška Demšar; Hans Hauska; Peter A. Burrough; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; geographic information science; geoinformatics; geovisualisation; spatial data mining; visual data mining; usability evaluation; Other information technology; Övrig informationsteknik;

   Abstract : Most of the largest databases currently available have a strong geospatial component and contain potentially useful information which might be of value. The discipline concerned with extracting this information and knowledge is data mining. Knowledge discovery is performed by applying automatic algorithms which recognise patterns in the data. READ MORE

5. 3. Nonconformity Measures and Ensemble Strategies : An Analysis of Conformal Predictor Efficiency and Validity

   Author : Henrik Linusson; Ulf Johansson; Henrik Boström; Alexander Gammerman; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Science; Machine Learning; Conformal Prediction; Classification; Regression; Computer and Systems Sciences; data- och systemvetenskap;

   Abstract : Conformal predictors are a family of predictive models that associate with each of their predictions a measure of confidence, enabling them to provide quantitative information about their own trustworthiness. In risk-laden machine learning applications, where bad predictions may lead to economic loss, personal injury, or worse, such inherent quality control appears highly beneficial, if not required. READ MORE

6. 4. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification

   Author : Somayeh Aghanavesi; Mark Dougherty; Mobyen Uddin Ahmed; Högskolan Dalarna; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Parkinson’s disease; motion sensors; motor symptoms; smartphone; microdata; multivariate analysis; data-driven; knowledge-driven; support vector machine stepwise regression; predictive models; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Abstract : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). READ MORE

7. 5. Towards integrating agile development and risk management

   Author : Jaana Nyfjord; Mira Kajko-Mattsson; Pekka Abrahamsson; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

   Abstract : Risk management has become recognized as a best practice in the software industry. Controlling risks improves essential software development features such as product quality, planning precision and cost-efficiency. READ MORE