Time series forecasting is the prediction of future data after analyzing the past data for temporal trends. This work investigates two fields of time series forecasting in the form of Stock Data Prediction and the Opioid Incident Prediction. In this thesis, the Stock Data Prediction Problem investigates methods which could predict the trends in the NYSE and NASDAQ stock markets for ten different companies, nine of which are part of the Dow Jones Industrial Average (DJIA).
Download count: 0
- Partial requirement for: M.S., Arizona State University, 2019Note typethesis
- Includes bibliographical referencesNote typebibliography
- Field of study: Computer science