Search for dissertations about: "data value"
Showing result 1 - 5 of 2026 swedish dissertations containing the words data value.
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1. Data management and Data Pipelines: An empirical investigation in the embedded systems domain
Abstract : Context: Companies are increasingly collecting data from all possible sources to extract insights that help in data-driven decision-making. Increased data volume, variety, and velocity and the impact of poor quality data on the development of data products are leading companies to look for an improved data management approach that can accelerate the development of high-quality data products. READ MORE
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2. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information
Abstract : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. READ MORE
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3. A Value Perspective on Information System Security : Exploring IS security objectives, problems and value conflicts
Abstract : The inability to understand the social aspects in IS security is pointed out as one of the biggest and most difficult problems in the IS security area. By applying a value perspective on IS security this thesis contributes to increased understanding of social aspects in relation to IS security and peoples’ security behaviours. READ MORE
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4. Dynamic Adaptations of Synchronization Granularity in Concurrent Data Structures
Abstract : The multicore revolution means that programmers have many cores at their disposal in everything from phones to large server systems. Concurrent data structures are needed to make good use of all the cores. Designing a concurrent data structure that performs well across many different scenarios is a difficult task. READ MORE
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5. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques
Abstract : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. READ MORE