Sökning: "Data Structure"

Visar resultat 1 - 5 av 3023 avhandlingar innehållade orden Data Structure.

  1. 1. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

    Författare :Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed data;

    Sammanfattning : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. LÄS MER

  2. 2. Data-driven Innovation : An exploration of outcomes and processes within federated networks

    Författare :Aya Rizk; Anna Ståhlbröst; Ahmed Elragal; Birgitta Bergvall-Kåreborn; Oliver Müller; Luleå tekniska universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Data-driven innovation; analytics; innovation process; federated networks; data science; taxonomy; Information systems; Informationssystem;

    Sammanfattning : The emergence and pervasiveness of digital technologies are changing many aspects of our lives, including what and how we innovate. Industries and societies are competing to embrace this wave of digitalization by developing the right infrastructures and ecosystems for innovation. LÄS MER

  3. 3. Open Government Data as a Reform and Ecosystem : A conceptual framework for evolution and health

    Författare :Jonathan Crusoe; Ulf Melin; Gustaf Juell-Skielse; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Open Government Data; Reform; Ecosystem; Health; Evolution; Impediment; Barrier; Risk; Enricher; User; Seeker; Provider; Publisher; Öppna data; ekosystem; reform; hälsa; evolution; hinder; barriär; risk; berikare; användare; sökare; medborgare; tillgängliggörare; publicerare;

    Sammanfattning : Introduction: This doctoral thesis in Information Systems disentangles the interplay of an OGD reform and an OGD ecosystem. Open government data (OGD) refers to data shared by public organizations, in the role of providers, following certain principles for anyone to reuse. LÄS MER

  4. 4. From Sequence to Structure : Using predicted residue contacts to facilitate template-free protein structure prediction

    Författare :Mirco Michel; Arne Elofsson; Erik Lindahl; Johannes Söding; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; protein bioinformatics; protein structure prediction; contact prediction; machine learning; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : Despite the fundamental role of experimental protein structure determination, computational methods are of essential importance to bridge the ever growing gap between available protein sequence and structure data. Common structure prediction methods rely on experimental data, which is not available for about half of the known protein families. LÄS MER

  5. 5. Finding, extracting and exploiting structure in text and hypertext

    Författare :Ola Ågren; Jürgen Börstler; Frank Drewes; Maarten de Rijke; Umeå universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Automatic propagation; CHiC; Data mining; Discrete data; Extraction; Hierarchies; ProT; Rank distribution; S²ProT; Spatial linking; Web mining; Web searching; Computer science; Datalogi; business data processing; administrativ databehandling;

    Sammanfattning : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. LÄS MER