Research on Stock Prediction Model using Mode Decomposition Algorithm and Support Vector Regression
Stock market forecasting has always been one of the most difficult challenges faced by the stock market. In the issue of stock price prediction, its noisy nature, complexity, as well as the country's governance system, economic situation, epidemic will be mentioned. In recent years, scholars ha...
Published in: | ACM International Conference Proceeding Series |
---|---|
Main Author: | Sun Y.; Mutalib S.; Omar; Peng |
Format: | Conference paper |
Language: | English |
Published: |
Association for Computing Machinery
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200403842&doi=10.1145%2f3675417.3675480&partnerID=40&md5=4edb2c31f33faf4ab7dc9f62b4932259 |
Similar Items
-
A Novel Integrated Approach for Stock Prediction Based on Modal Decomposition Technology and Machine Learning
by: Sun Y.; Mutalib S.; Omar N.; Tian L.
Published: (2024) -
Research on the Application of LSTM-SA-AdaBoost Hybrid Model in Stock Forecasting
by: Sun Y.; Mutalib S.; Omar N.; Huang M.
Published: (2023) -
ENHANCING ECOSYSTEM BIODIVERSITY THROUGH AIR POLLUTION CONCENTRATIONS PREDICTION USING SUPPORT VECTOR REGRESSION APPROACHES
by: Solehah, et al.
Published: (2023) -
ENHANCING ECOSYSTEM BIODIVERSITY THROUGH AIR POLLUTION CONCENTRATIONS PREDICTION USING SUPPORT VECTOR REGRESSION APPROACHES
by: Solehah S.U.; Abidin A.W.Z.; Warris S.N.; Shaziayani W.N.; Osman B.M.; Ibrahim N.; Noor N.M.; Ul-Saufie A.Z.
Published: (2023) -
Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
by: Yong, et al.
Published: (2024)