Search for dissertations about: "Information Models"

Showing result 1 - 5 of 3150 swedish dissertations containing the words Information Models.

  1. 1. Information Management for Cutting Tools : Information Models and Ontologies

    Author : Olof Nyqvist; Torsten Kjellberg; Fumihiko Kimura; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Production Engineering; Cutting Tools; Information Models; International Standards; Reference Data; Ontologies; Information technology; Informationsteknologi;

    Abstract : There is an increasing demand for the exchange of important product and manufacturing information in a computer interpretable way. Large manufacturing companies are dependent on having access to the necessary information electronically. READ MORE

  2. 2. Managing information security for mobile devices in small and medium-sized enterprises : Information management, Information security management, mobile device

    Author : Martin Brodin; Jeremy Rose; Rose-Mharie Åhlfeldt; Stewart Kowalski; Miko Siponen; Högskolan i Skövde; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Information management; Information security management; mobile device; Information Systems; Informationssystem IS ;

    Abstract : The rapid proliferation of mobile devices makes mobile security a weak point in many organisations’ security management. Though there are a number of frameworks and methods available for improving security management, few of these target mobile devices, and most are designed for large organisations. READ MORE

  3. 3. Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality

    Author : Rikard König; Högskolan i Skövde; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Rule Extraction; Genetic Programming; Uncertainty estimation; Machine Learning; Artificial Neural Networks; Data Mining; Information Fusion; Information technology; Informationsteknik; Teknik; Technology; rule extraction; genetic programming; uncertainty estimation; machine learning; artificial neural networks; information fusion; Computer Science; data mining;

    Abstract : Today, decision support systems based on predictive modeling are becoming more common, since organizations often collect more data than decision makers can handle manually. Predictive models are used to find potentially valuable patterns in the data, or to predict the outcome of some event. READ MORE

  4. 4. Tensions and Contradictions in Information Management

    Author : Karen Nowé Hedvall; Högskolan i Borås; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; information management; information behaviour; information strategies; activity theory; voluntary organisations; peace organisations;

    Abstract : The thesis aims to contribute to the research on the management and use of information in organisations by providing a holistic understanding of the various information practices and needs as well as attitudes towards information at different levels in the broader socio-historical context of a specific organisation. To this end, findings and approaches from research traditions in library and information science, management studies and organisational theory are combined in an activity-theoretical approach with some neo-institutional aspects. READ MORE

  5. 5. Utilizing Diversity and Performance Measures for Ensemble Creation

    Author : Tuve Löfström; Högskolan i Skövde; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Ensemble Learning; Machine Learning; Diversity; Artificial Neural Networks; Data Mining; Information Fusion; Computer science; Datavetenskap; Teknik; Technology; ensemble learning; machine learning; diversity; artificial neural networks; information fusion; Computer Science; data mining;

    Abstract : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. READ MORE