Sökning: "event data"
Visar resultat 1 - 5 av 1584 uppsatser innehållade orden event data.
1. Comparison between CRUD and CQRS in an event driven system
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : In todays digitalised society, effective solutions to manage huge amount of data is needed. An established design pattern that are used in many systems are CRUD. To handle data in events have become more popular over the years, but CRUD is not optimised for it. A possible replacement is CQRS, it is designed with events in mind. LÄS MER
2. Implementering av händelsedrivenarkitektur och händelsekällor för hälsodata
Kandidat-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Dagens hälso- och sjukvårdssystem är byggda som en traditionell monolit men det finns fler sätt att utveckla dessa system på. Händelsedriven arkitektur med händel-sekällor för lagring av data är ett modernt sätt att utveckla system. LÄS MER
3. Evaluation of Open-source Threat Intelligence Platforms Considering Developments in Cyber Security
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. With the increase in cyberattacks and cyber related threats, it is of great concern that the area still lacks the needed amount of practitioners. Open-source threat intelligence platforms are free platforms hosting related information to cyber threats. LÄS MER
4. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. LÄS MER
5. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Analys och partiella differentialekvationerSammanfattning : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. LÄS MER