Sökning: "Data Structure"
Visar resultat 1 - 5 av 3023 avhandlingar innehållade orden Data Structure.
1. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical 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
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
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. From Sequence to Structure : Using predicted residue contacts to facilitate template-free protein structure prediction
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
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