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An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction
11 references·3 citing·46 second hop
An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction (2019)An integrated TOPSIS crow search based cl…Evaluating Forecasting Methods by Considering Different Accuracy Measures (2016)Evaluating Forecasting Method…A hybrid stock trading framework integrating technical analysis with machine learning techniques (2016)A hybrid stock trading framew…A comparative study on base classifiers in ensemble methods for credit scoring (2016)A comparative study on base c…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION (2012)EVALUATION OF CLASSIFICATION …Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting direction of stock…Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Forecasting stock exchange mo…A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction (2010)A Decision tree- Rough set Hy…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…Evaluating the performance of ensemble classifiers in stock returns prediction using effective features (2022)Evaluating the performance of…Decision Fusion for Stock Market Prediction: A Systematic Review (2022)Decision Fusion for Stock Mar…Multi-objective lifecycle optimization for oil palm fertilizer formulation: A hybrid P-graph and TOPSIS approach (2020)Multi-objective lifecycle opt…Financial time series forecasting using support vector machines (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Multiple Attribute Decision Making (1981)Control problems of grey systems (1982)Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS (2003)Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015 (2016)Integrated Determination of Objective Criteria Weights in MCDM (2016)Soft consensus cost models for group decision making and economic interpretations (2019)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Sentiment analysis on social media for stock movement 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Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)What's In A Name? Malay Seals As Onomastic Sources (2018)Machine learning-driven credit risk: a systemic review (2022)Operational Research and Artificial Intelligence Methods in Banking (2022)Economic Forces and the Stock Market (1986)Common risk factors in the returns on stocks and bonds (1993)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Forecasting stock indices with back propagation neural network (2011)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)
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References

  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2012EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION567 cited
  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 2016A comparative study on base classifiers in ensemble methods for credit scoring248 cited
  • 2016A hybrid stock trading framework integrating technical analysis with machine learning techniques215 cited
  • 2010Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait148 cited
  • 2010A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction92 cited
  • 2016Evaluating Forecasting Methods by Considering Different Accuracy Measures84 cited

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  • 2022Evaluating the performance of ensemble classifiers in stock returns prediction using effective features46 cited
  • 2022Decision Fusion for Stock Market Prediction: A Systematic Review

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43 cited
  • 2020Multi-objective lifecycle optimization for oil palm fertilizer formulation: A hybrid P-graph and TOPSIS approach37 cited