Essays about: "Time Series Prediction"

Showing result 31 - 35 of 242 essays containing the words Time Series Prediction.

  1. 31. Swedish Stock and Index Price Prediction Using Machine Learning

    University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Author : Henrik Wik; [2023]
    Keywords : Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

    Abstract : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. READ MORE

  3. 32. Prediction and Analysis of 5G beyond Radio Access Network

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gaurav Singh; Shreyansh Singh; [2023]
    Keywords : - LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

    Abstract : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. READ MORE

  4. 33. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

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

    Author : Aksel Uhr; [2023]
    Keywords : Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE

  5. 34. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

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

    Author : Isabella Mustén Ross; [2023]
    Keywords : Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

    Abstract : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. READ MORE

  6. 35. Demand Forecasting using Machine Learning Methods: An Empirical Study on Walmart Retail Sales Forecast

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Yongjai Lee; [2023]
    Keywords : Demand forecasting; machine learning; time series; LSTM; ARIMA;

    Abstract : Economists put considerable effort and research into demand estimation, modeling consumer be- havior uncovering causal relationships between product attributes, consumer preferences, prices, and demand. However, demand forecasting is less explored in the economics literature. READ MORE