Sökning: "Computer Systems Sciences"
Visar resultat 16 - 20 av 2841 avhandlingar innehållade orden Computer Systems Sciences.
16. Data-driven decision support in digital retailing
Sammanfattning : In the digital era and advent of artificial intelligence, digital retailing has emerged as a notable shift in commerce. It empowers e-tailers with data-driven insights and predictive models to navigate a variety of challenges, driving informed decision-making and strategic formulation. LÄS MER
17. Explainable and Resource-Efficient Stream Processing Through Provenance and Scheduling
Sammanfattning : In our era of big data, information is captured at unprecedented volumes and velocities, with technologies such as Cyber-Physical Systems making quick decisions based on the processing of streaming, unbounded datasets. In such scenarios, it can be beneficial to process the data in an online manner, using the stream processing paradigm implemented by Stream Processing Engines (SPEs). LÄS MER
18. Functional EDSLs for Web Applications
Sammanfattning : This thesis aims to make the development of complex web applications easier, faster and safer through the application of strongly typed functional programming techniques. Traditional web applications are commonly written in the de facto standard language of the web, JavaScript, which, being untyped, provides no guarantees regarding the data processed by programs, increasing the burden of testing and defensive programming. LÄS MER
19. Preserving Privacy in Transparency Logging
Sammanfattning : The subject of this dissertation is the construction of privacy-enhancing technologies (PETs) for transparency logging, a technology at the intersection of privacy, transparency, and accountability. Transparency logging facilitates the transportation of data from service providers to users of services and is therefore a key enabler for ex-post transparency-enhancing tools (TETs). LÄS MER
20. Knowledge discovery for interactive decision support and knowledge-driven optimization
Sammanfattning : Multi-objective optimization involves the simultaneous optimization of several objective functions. In real-world problems, these objectives are often in conflict, giving rise to trade-offs in the optimal solutions from the optimization process. All these solutions are equally viable, with no single solution being better or worse than the others. LÄS MER