Sökning: "Information Networks"
Visar resultat 1 - 5 av 1855 avhandlingar innehållade orden Information Networks.
1. Organization of information pathways in complex networks
Sammanfattning : A shuman beings, we are continuously struggling to comprehend the mechanism of dierent natural systems. Many times, we face a complex system where the emergent properties of the system at a global level can not be explained by a simple aggregation of the system's components at the micro-level. LÄS MER
2. Multivariate Networks : Visualization and Interaction Techniques
Sammanfattning : As more and more data is created each day, researchers from different science domains are trying to make sense of it. A lot of this data, for example our connections to friends on different social networking websites, can be modeled as graphs, where the nodes are actors and the edges are relationships between them. LÄS MER
3. Predictive Techniques and Methods for Decision Support in Situations with Poor Data Quality
Sammanfattning : Today, decision support systems based on predictive modeling are becoming more common, since organizations often collect more data than decision makers can handle manually. Predictive models are used to find potentially valuable patterns in the data, or to predict the outcome of some event. LÄS MER
4. Information Technology Alignment : The Role of Organisational Structure
Sammanfattning : Information technology (IT) alignment studies which focus on conceptual debates have left little room for studies investigating practical issues such as organisational structure. On the other hand, the attention paid to private and commercial organisations has resulted in findings that might not apply to public organisations. LÄS MER
5. Utilizing Diversity and Performance Measures for Ensemble Creation
Sammanfattning : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. LÄS MER