Search for dissertations about: "well data"

Showing result 1 - 5 of 9345 swedish dissertations containing the words well data.

2. 1. External Data Incorporation into Data Warehouses

   Author : Mattias Strand; Benkt Wangler; Mats Danielsson; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; data warehouse; external data; syndicate data; Computer and systems science; Data- och systemvetenskap; Technology;

   Abstract : Most organizations are exposed to increasing competition and must be able to orient themselves in their environment. Therefore, they need comprehensive systems that are able to present a holistic view of the organization and its business. READ MORE

4. 2. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

   Author : Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed data;

   Abstract : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. READ MORE

5. 3. Learning from Complex Medical Data Sources

   Author : Jonathan Rebane; Panagiotis Papapetrou; Isak Samsten; Myra Spiliopoulou; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Data Science; Healthcare; Complex Data; Explainable AI; Deep Learning; data- och systemvetenskap; Computer and Systems Sciences;

   Abstract : Large, varied, and time-evolving data sources can be observed across many domains and present a unique challenge for classification problems, in which traditional machine learning approaches must be adapted to accommodate for the complex nature of such data. Across most domains, there is also a need for machine learning models that are both well-performing and interpretable, to help provide explanations of a model's decisions that stakeholders can trust and take appropriate actions with. READ MORE

6. 4. Everyday mining : Exploring sequences in event-based data

   Author : Katerina Vrotsou; Matthew Cooper; Anders Ynnerman; Kajsa Ellegård; Andrew S. Harvey; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Event-based data; activity diary data; event-sequences; interactive exploration; sequence identification; visual data mining; Computer science; Datavetenskap;

   Abstract : Event-based data are encountered daily in many disciplines and are used for various purposes. They are collections of ordered sequences of events where each event has a start time and a duration. READ MORE

7. 5. 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