Sökning: "Data capturing"

Visar resultat 6 - 10 av 277 avhandlingar innehållade orden Data capturing.

1. 6. Capturing and Analysing Emotions to Support Organisational Learning : The Affect Based Learning Matrix

   Författare :Theresia Olsson Neve; Paul Johannesson; Janis Stirna; Marite Kirikova; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Knowledge Management; Organisational Learning; Emotions; Affects; Perspective Change; Knowledge Management Systems; Web-based Knowledge Management Support; Computer and systems science; Data- och systemvetenskap;

   Sammanfattning : This thesis deals with the importance of managing employees’ thoughts and feelings in relation to organisational learning. To visualise and to identify affections within organisations is of major importance since most of our actions and the decisions we make are steered by our emotions rather than rational thinking. LÄS MER

3. 7. Ensembles of Semantic Spaces : On Combining Models of Distributional Semantics with Applications in Healthcare

   Författare :Aron Henriksson; Hercules Dalianis; Martin Duneld; Nigel Collier; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; machine learning; distributional semantics; ensemble learning; semantic space ensembles; medical informatics; electronic health records; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. LÄS MER

4. 8. Orchestrating emerging digital ecosystems : investigating the establishment of an open data platform in the Swedish public transport industry

   Författare :Hosea A. Ofe; Johan Sandberg; Jonny Holmström; Henrik Wimelius; Anna Ståhlbröst; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Digital platform ecosystem; platform establishment; emerging ecosystems; orchestrating; control; coordination; generating network effects; creating value; capturing value; attracting users; data- och systemvetenskap; computer and systems sciences;

   Sammanfattning : Digital platforms are affecting most contemporary organizations as they mediate an increasing range and number of interactions in their ecosystems. While the discourse on digital platform ecosystems has gained in interest over the years, it often revolves around dominant global firms and how they utilize their control over governance and architecture configurations to exercise power in shaping trajectories. LÄS MER

5. 9. On a Need to Know Basis : A Conceptual and Methodological Framework for Modelling and Analysis of Information Demand in an Enterprise Context

   Författare :Magnus Jandinger; Kurt Sandkuhl; Ulf Seigerroth; Sture Hägglund; Eva Söderström; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : While the amount of information, readily available to workers in information- and knowledge intensive business- and industrial contexts, only seem to increase with every day, those workers continue to have difficulties in finding and managing relevant and needed information despite the numerous technical, organisational, and practical approaches promising a remedy to the situation. In this dissertation it is claimed that the main reason for the shortcomings of such approaches are a lack of understanding of the underlying information demand people and organisations have in relation to performing work tasks. LÄS MER

7. 10. Data driven crop disease modeling

   Författare :Priyamvada Shankar; Marcus Liwicki; Foteini Liwicki; Lili Jiang; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Crop Disease Prediction; Precision Agriculture; Digital Farming; Artificial Intelligence; Machine learning; Maskininlärning; Machine Learning;

   Sammanfattning : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. LÄS MER