Sökning: "data value"

Visar resultat 1 - 5 av 2145 avhandlingar innehållade orden data value.

  1. 1. Data management and Data Pipelines: An empirical investigation in the embedded systems domain

    Författare :Aiswarya Raj Munappy; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; data management; empirical investigation; artificial intelligence; data pipelines; embedded systems; software engineering; machine learning;

    Sammanfattning : 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. LÄS MER

  3. 2. Information Needs for Water Resource and Risk Management : Hydro-Meteorological Data Value and Non-Traditional Information

    Författare :Marc Girons Lopez; Jan Seibert; Sven Halldin; Thomas Grabs; Giuliano Di Baldassarre; Elena Toth; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; water management; data resolution; non-traditional data; floods; modelling; social memory; precipitation; runoff; social media; interpolation; data value; gestió de l’aigua; resolució de les dades; dades no tradicionals; inundacions; modelització; memòria social; precipitació; escorrentia; xarxes socials; interpolació; valor de les dades; avrinning; befolkningars minne; dataupplösning; datavärde; interpolering; mjuk information; modellering; nederbörd; sociala medier; vattenförvaltning; översvämning; gestión del agua; resolución de los datos; datos no tradicionales; inundaciones; modelización; memoria social; precipitación; escorrentía; redes sociales; interpolación; valor de los datos; Hydrology; Hydrologi;

    Sammanfattning : 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. LÄS MER

  4. 3. A Value Perspective on Information System Security : Exploring IS security objectives, problems and value conflicts

    Författare :Ella Kolkowska; Åke Grönlund; Jonathan P. Allen; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; information security; values; value conflicts; behaviours; Informatics; Informatik; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; Statistics; computer and systems science; Statistik; data- och systemvetenskap; Informatics; computer and systems science; Informatik; data- och systemvetenskap; informatics; informatik;

    Sammanfattning : 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. LÄS MER

  5. 4. Dynamic Adaptations of Synchronization Granularity in Concurrent Data Structures

    Författare :Kjell Winblad; Konstantinos Sagonas; Erez Petrank; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; concurrent data structures; contention adapting; range queries; lock-freedom; adaptivity; linearizability; ordered sets; maps; key-value stores; concurrent priority queues; relaxed concurrent data structures; locks; delegation locking; Computer Science; Datavetenskap;

    Sammanfattning : 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. LÄS MER

  7. 5. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques

    Författare :Diana Fuentes-Andino; Sven Halldin; Chong-Yu Xu; Keith Beven; Giuliano Di Baldassarre; Wouter Buytaert; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Central America; floods; data scarcity; data quality; uncertainty analysis; regionalisation; flood frequency analysis; GLUE; hydraulic modelling; rainfall-runoff modeling; TOPMODEL; LISFLOOD-FP; GRADEX; index-flood; Muskingum-Cunge-Todini flow routing; Mellanamerika; högflöde; datakvalitet; osäkerhetsanalys; regionalisering; frekvensanalys av högflöden; GLUE; hydraulisk modellering; nederbörds-avrinningsmodeller; TOPMODEL; LISFLOOD-FP; GRADEX; indexflöde; Muskingum-Cunge-Todini flödessvarstid; Central América; inundaciones; escasez de datos; calidad de los datos; análisis de incertidumbre; regionalización; análisis de frequencia de inundación; GLUE; modelación hidraulica; modelo de lluvia-escorrentía; TOPMODEL; LISFLOOD-FP; GRADEX; índice de inundación; Muskingum-Cunge-Todini rutina de propagación de flujo;

    Sammanfattning : 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. LÄS MER