Essays about: "analys av tidsserier"

Showing result 16 - 20 of 36 essays containing the words analys av tidsserier.

1. 16. Clustering of Financial Account Time Series Using Self Organizing Maps

   University essay from KTH/Matematisk statistik

   Author : Magnus Nordlinder; [2021]
   Keywords : Kohonen; financial accounts; self organizing maps; clustring; time series; Kohonen; finansiella konton; klustring; tidsserier;

   Abstract : This thesis aims to cluster financial account time series by extracting global features from the time series and by using two different dimensionality reduction methods, Kohonen Self Organizing Maps and principal component analysis, to cluster the set of the time series by using K-means. The results are then used to further cluster a set of financial services provided by a financial institution, to determine if it is possible to find a set of services which coincide with the time series clusters. READ MORE

3. 17. Analysing User Viewing Behaviour in Video Streaming Services

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ioannis Markou; [2021]
   Keywords : log analysis; user viewing demand; over the top; proactive resource scaling; time series forecasting; log analys; användarens visningsbehov; streamingtjänster; proaktiv resursskalning; videostreaming; prognoser av tidsserier;

   Abstract : The user experience offered by a video streaming service plays a fundamental role in customer satisfaction. This experience can be degraded by poor playback quality and buffering issues. These problems can be caused by a user demand that is higher than the video streaming service capacity. READ MORE

4. 18. Detecting anomalies in data streams driven by ajump-diffusion process

   University essay from Umeå universitet/Institutionen för fysik

   Author : Carl Paulin; [2021]
   Keywords : machine learning; ML; random forest; anomaly; detection; outlier; analysis; financial modelling; merton; jump-diffusion process; stochastic process; isolation forest; IF; robust random cut forest; RRCF;

   Abstract : Jump-diffusion processes often model financial time series as they can simulate the random jumps that they frequently exhibit. These jumps can be seen as anomalies and are essential for financial analysis and model building, making them vital to detect. READ MORE

5. 19. Forecasting Service Metrics for Network Services

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Chen Tang; [2020]
   Keywords : Forecasting; Machine Learning; Time Series Analysis; Prognoser; maskininl¨arning; analys av tidsserier;

   Abstract : As the size and complexity of the internet increased dramatically in recent years,the burden of network service management also became heavier. The need foran intelligent way for data analysis and forecasting becomes urgent. The wideimplementation of machine learning and data analysis methods provides a newway to analyze large amounts of data. READ MORE

6. 20. Machine Learning for Sparse Time-Series Classification - An Application in Smart Metering

   University essay from KTH/Matematisk statistik

   Author : Carl Ridnert; [2019]
   Keywords : ;

   Abstract : Smart Meters are measuring devices collecting labeled time series data of utility consumptions from sub-meters and are capable of automatically transmit-ting this between the customer and utility companies together with other companies that offer services such as monitoring of consumption and cleaning of data. The smart meters are in some cases experiencing communication errors. READ MORE