Sökning: "Data integration"
Visar resultat 21 - 25 av 1294 avhandlingar innehållade orden Data integration.
21. A study in integrating multiple biological data sources
Sammanfattning : Life scientists often have to retrieve data from multiple biological data sources to solve their research problems. Although many data sources are available, they vary in content, data format, and access methods, which often vastly complicates the data retrieval process. LÄS MER
22. Iranians in Sweden : economic, cultural and social integration
Sammanfattning : This study explores three dimensions in the integration of Iranian immigrants in Sweden: economic, cultural and social. To test the generalisability of the ideas presented, and to place them in a wider framework the integration of Iranians has been compared with those of three other minorities: Chileans, Poles, and Finns. LÄS MER
23. Uncovering biomarkers and molecular heterogeneity of complex diseases : Utilizing the power of Data Science
Sammanfattning : Uncovering causal drivers of complex diseases is yet a difficult challenge. Unlike single-gene disorders complex diseases are heterogeneous and are caused by a combination of genetic, environmental, and lifestyle factors which complicates the identification of patient subgroups and the disease causal drivers. LÄS MER
24. Process Integration for the Extended Enterprise
Sammanfattning : In many industries today, the speed and costs with which new products are delivered to customers provide the basis for competitive advantage. Electronic business (e-business) is a concept that shortens the “time to market” and enables transacting at lower costs. LÄS MER
25. Improving the Performance of Machine Learning-based Methods for Continuous Integration by Handling Noise
Sammanfattning : Background: Modern software development companies are increasingly implementing continuous integration (CI) practices to meet market demands for delivering high-quality features. The availability of data from CI systems presents an opportunity for these companies to leverage machine learning to create methods for optimizing the CI process. LÄS MER