Essays about: "time series prediction"

Showing result 1 - 5 of 237 essays containing the words time series prediction.

  1. 1. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning

    University essay from KTH/Matematik (Avd.)

    Author : Mattias Martinsen; [2023]
    Keywords : Wavelet; Regression; Bayesian network; Prediction; Patent; Machine Learning; Wavelet; Regression; Bayesiskt nätverk; Predicering; Patent; Maskininlärning;

    Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE

  2. 2. Forecasting With Feature-Based Time Series Clustering

    University essay from Jönköping University/Tekniska Högskolan

    Author : Conrad Tingström; Johan Åkerblom Svensson; [2023]
    Keywords : demand forecasting; time series prediction; time series clustering;

    Abstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE

  3. 3. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Stella Jarlöv; Anton Svensson Dahl; [2023]
    Keywords : demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

    Abstract : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. READ MORE

  4. 4. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Irina Zarankina; [2023]
    Keywords : ARMA; ARIMA; LSTM; time series; statistics;

    Abstract : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. READ MORE

  5. 5. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
    Keywords : Bitcoin; Cryptocurrency; Machine Learning;

    Abstract : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. READ MORE