SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Time series forecasting for stock market prediction through data discretization by fuzzistics and rule generation by rough set theory
16 references·4 citing·28 second hop
Time series forecasting for stock market prediction through data discretization by fuzzistics and rule generation by rough set theory (2019)Time series forecasting for stock market …INTUITIONISTIC FUZZY SETS BASED METHOD FOR FUZZY TIME SERIES FORECASTING (2012)INTUITIONISTIC FUZZY SETS BAS…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting (2010)A hybrid model based on rough…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…A Type 2 fuzzy time series model for stock index forecasting (2005)A Type 2 fuzzy time series mo…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support (2002)Forecasting the NYSE composit…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Fuzzy sets (1996)Fuzzy setsForecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments with …Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …Forecasting stock market prices: Lessons for forecasters (1992)Forecasting stock market pric…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Fuzzy sets (1965)Fuzzy setsADVANCED PREDICTIVE ANALYTICS FOR COMPREHENSIVE RISK ASSESSMENT IN FINANCIAL MARKETS: STRATEGIC APPLICATIONS AND SECTOR-WIDE IMPLICATIONS (2024)ADVANCED PREDICTIVE ANALYTICS…A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting (2024)A Deep Learning Based Expert …Machine learning techniques for stock price prediction and graphic signal recognition (2023)Machine learning techniques f…Building Intelligent Moving Average-Based Stock Trading System Using Metaheuristic Algorithms (2021)Building Intelligent Moving A…The concept of a linguistic variable and its application to approximate reasoning—II (1975)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Weighted fuzzy time series models for TAIEX forecasting (2004)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Time Series Analysis: Forecasting and Control (1977)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Forecasting daily stock market return using dimensionality reduction (2016)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Econometric Analysis of Cross Section and Panel Data (2001)Financial time series forecasting model based on CEEMDAN and LSTM (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1996Fuzzy sets46,880 cited
  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1993Forecasting enrollments with fuzzy time series — Part I1,255 cited
  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
  • 1994Forecasting enrollments with fuzzy time series — part II789 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2011Forecasting stock indices with back propagation neural network487 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support277 cited
  • 2005A Type 2 fuzzy time series model for stock index forecasting231 cited
  • 2010A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting212 cited
  • 1992

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Forecasting stock market prices: Lessons for forecasters
153 cited
  • 2012INTUITIONISTIC FUZZY SETS BASED METHOD FOR FUZZY TIME SERIES FORECASTING113 cited
  • Cited by

    • 2023Machine learning techniques for stock price prediction and graphic signal recognition52 cited
    • 2024A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting44 cited
    • 2021Building Intelligent Moving Average-Based Stock Trading System Using Metaheuristic Algorithms43 cited
    • 2024ADVANCED PREDICTIVE ANALYTICS FOR COMPREHENSIVE RISK ASSESSMENT IN FINANCIAL MARKETS: STRATEGIC APPLICATIONS AND SECTOR-WIDE IMPLICATIONS25 cited