Search for dissertations about: "data classification"

Showing result 21 - 25 of 886 swedish dissertations containing the words data classification.

  2. 21. Brain tumors in children - National population-based studies on classification, diagnostics and long-term follow-up

    Author : Elizabeth Schepke; Göteborgs universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pediatric CNS tumors; population-based; DNA methylation; profiling; CNS-PNET; re-evaluation; incidence rate; long-term outcome; classification; Pediatric CNS tumors; Population-based; DNA methylation; Profiling; CNS-PNET; Re-evaluation; Incidence rate; Long-term outcome; Classification;

    Abstract : Although the prognosis for pediatric tumors of the central nervous system (CNS) has improved over time it is urgent to reduce mortality and improve long-term quality of life for survivors. With this aim, the first step is to identify the correct diagnosis in order to choose the right therapy and avoid unnecessary treatment. READ MORE

  4. 22. Supporting Information Security Management : Developing a Method for Information Classification

    Author : Erik Bergström; Rose-Mharie Åhlfeldt; Fredrik Karlsson; Eva Söderström; Steven Furnell; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; information classification; Information security management; Information security management systems; Information classification method; INF303 Informationssäkerhet; INF303 Information Security; Information Systems; Informationssystem IS ;

    Abstract : In the highly digitalised world in which we live today, information and information systems have become critical assets to organisations, and hence need to be safeguarded accordingly. In order to implement and work with information security in a structured way, an Information Security Management System (ISMS) can be implemented. READ MORE

  5. 23. Computational and spatial analyses of rooftops for urban solar energy planning

    Author : Mohammad Aslani; Stefan Seipel; S. Anders Brandt; Julia Åhlén; Alison Jane Heppenstall; Högskolan i Gävle; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Classification; Segmentation; Support vector machines; Instance selection; Rooftop plane segmentation; Photovoltaic panels; Utiliz-able rooftop areas; Geoinformatics; maskininlärning; klassificering; segmentering; stödvektormaskiner; urval av träningsdata; segmentering av takytor; solcellspaneler; utnyttjande av takytor; geoinformatik; Hållbar stadsutveckling; Sustainable Urban Development;

    Abstract : In cities where land availability is limited, rooftop photovoltaic panels (RPVs) offer high potential for satisfying concentrated urban energy demand by using only rooftop areas. However, accurate estimation of RPVs potential in relation to their spatial distribution is indispensable for successful energy planning. READ MORE

  6. 24. Transport Analytics Based on Cellular Network Signalling Data

    Author : David Gundlegård; Johan M. Karlsson; Tommy Svensson; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Cellular networks of today generate a massive amount of signalling data. A large part of this signalling is generated to handle the mobility of subscribers and contains location information that can be used to fundamentally change our understanding of mobility patterns. READ MORE

  7. 25. Applications of Machine Learning on Natural Language Processing and Biomedical Data

    Author : Dennis Medved; Institutionen för datavetenskap; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Machine learning is ubiquitous in today’s society, with promising applicationsin the field of natural language processing (NLP), so that computers can handlehuman language better, and within the medical community, with the promiseof better treatments. Machine learning can be seen as a subfield of artificialintelligence (AI), where AI is used to describe a machine that mimics cognitivefunctions that humans associate with other human minds, such as learning orproblem solving. READ MORE