Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions

An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market

(2020) Jiawei Long et al.   APPLIED SOFT COMPUTING

A Comprehensive Survey on Portfolio Optimization, Stock Price and Trend Prediction Using Particle Swarm Optimization

(2020) Ankit Thakkar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data

(2019) Taewook Kim et al.   PLoS One

A methodology for the resolution of cashtag collisions on Twitter – A natural language processing & data fusion approach

(2019) Lewis Evans et al.   EXPERT SYSTEMS WITH APPLICATIONS

Technical analysis and sentiment embeddings for market trend prediction

(2019) Andrea Picasso et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of data fusion in smart city applications

(2019) Billy Pik Lik Lau et al.   Information Fusion

An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection

(2019) Xiuzhi Sang et al.   INFORMATION SCIENCES

Machine Learning for Quantitative Finance Applications: A Survey

(2019) Rundo et al.   Applied Sciences-Basel

Long-term stock index forecasting based on text mining of regulatory disclosures

(2018) Stefan Feuerriegel et al.   DECISION SUPPORT SYSTEMS

Improving random forests by neighborhood projection for effective text classification

(2018) Thiago Salles et al.   INFORMATION SYSTEMS

Improving stock market prediction via heterogeneous information fusion

(2018) Xi Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Combining the wisdom of crowds and technical analysis for financial market prediction using deep random subspace ensembles

(2018) Qili Wang et al.   NEUROCOMPUTING

Decision-making for financial trading: A fusion approach of machine learning and portfolio selection

(2018) Felipe Dias Paiva et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stock market one-day ahead movement prediction using disparate data sources

(2017) Bin Weng et al.   EXPERT SYSTEMS WITH APPLICATIONS

One versus one multi-class classification fusion using optimizing decision directed acyclic graph for predicting listing status of companies

(2017) Ligang Zhou et al.   Information Fusion

Fusion of multiple diverse predictors in stock market

(2017) Sasan Barak et al.   Information Fusion

A data analytic approach to forecasting daily stock returns in an emerging market

(2016) Asil Oztekin et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Computational Intelligence and Financial Markets: A Survey and Future Directions

(2016) Rodolfo C. Cavalcante et al.   EXPERT SYSTEMS WITH APPLICATIONS

Decision forest: Twenty years of research

(2016) Lior Rokach   Information Fusion

Opinion Mining and Information Fusion: A survey

(2016) Jorge A. Balazs et al.   Information Fusion

Multi indicator approach via mathematical inference for price dynamics in information fusion context

(2016) G. Iovane et al.   INFORMATION SCIENCES

Minimal variability OWA operator combining ANFIS and fuzzy c-means for forecasting BSE index

(2016) Gurbinder Kaur et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

The Asian Correction Can Be Quantitatively Forecasted Using a Statistical Model of Fusion-Fission Processes

(2016) Boon Kin Teh et al.   PLoS One

Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model

(2016) Mingyue Qiu et al.   PLoS One

Analyzing initial public offerings' short-term performance using decision trees and SVMs

(2015) Eyup Bastı et al.   DECISION SUPPORT SYSTEMS

Predicting stock market index using fusion of machine learning techniques

(2015) Jigar Patel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Portfolio Choice with Illiquid Assets

(2014) Andrew Ang et al.   MANAGEMENT SCIENCE

Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information

(2014) Xiaodong Li et al.   NEUROCOMPUTING

A Feature Fusion Based Forecasting Model for Financial Time Series

(2014) Zhiqiang Guo et al.   PLoS One

A Bayesian regularized artificial neural network for stock market forecasting

(2013) Jonathan L. Ticknor   EXPERT SYSTEMS WITH APPLICATIONS

A survey of multiple classifier systems as hybrid systems

(2013) Michał Woźniak et al.   Information Fusion

Discriminative extended canonical correlation analysis for pattern set matching

(2013) Ognjen Arandjelović   MACHINE LEARNING

A Review of Data Fusion Techniques

(2013) Federico Castanedo   TheScientificWorldJOURNAL

Information fusion techniques for change detection from multi-temporal remote sensing images

(2012) Peijun Du et al.   Information Fusion

Credit risk assessment and decision making by a fusion approach

(2012) Tsui-Chih Wu et al.   KNOWLEDGE-BASED SYSTEMS

An investigation of data and text mining methods for real world deception detection

(2011) Christie M. Fuller et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparative analysis of machine learning techniques for student retention management

(2010) Dursun Delen   DECISION SUPPORT SYSTEMS

A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification

(2010) UttharaGosa Mangai et al.   IETE TECHNICAL REVIEW

Surveying stock market forecasting techniques – Part II: Soft computing methods

(2008) George S. Atsalakis et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-data source fusion

(2007) Gilles Nachouki et al.   Information Fusion