Sökning: "information classification research gaps"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden information classification research gaps.
1. Information Classification in Information Security Management and its Challenges
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Information classification is a prerequisite for carrying out risk management in information security, as the assets worth protecting are identified and the need for protection is determined by the classification categories. The information classification thus has a major impact on the security architecture of systems and organizations. LÄS MER
2. Evaluating Methodological Considerations and Quality Standards in People Analytics: A Scoping Review and Bibliographic Analysis
Master-uppsats, Linnéuniversitetet/Institutionen för psykologi (PSY)Sammanfattning : People analytics (PA) has experienced significant growth in recent years due to the increasing availability of employee data and the impact of digitalization on organizations. This data-driven approach utilizes inductive methods to predict various outcomes in the field of human resources. LÄS MER
3. A systematic mapping study of mapping modelling languages
Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Context - Various research teams, as well as individual researchers, have investigated mapping modelling languages. However, systematic studies that provide a structured overview of this research on this topic have not been conducted. It is noticeable that this leaves a big gap in the context of a modelling language. LÄS MER
4. A systematic mapping study on Quality of Service in industrial cloud computing
Magister-uppsats, Mälardalens högskola/Inbyggda systemSammanfattning : Context -- The rapid development of Industry 4.0 and Industrial Cyber-Physical Systems is leading to the exponential growth of unprocessed volumes of data. Industrial cloud computing has shown great potential as a solution that can provide the necessary resources for processing these data. LÄS MER
5. Automated fiction classification : an explorative study offiction classification using machine-learning techniques
Master-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och ITSammanfattning : This thesis aims to explore the possibilities and components of employing automated text classification techniques to classify collections of narrative fiction by genre, and also, what linguistic features are prominent in distinguishing genres of fiction. The historical traditions and current practices and theories in the field of fiction classification are outlined, along with central concepts of classification and genre theory. LÄS MER