Requirements Engineering Process of Recommender System for the Nigerian Stock Market using Machine Learning Approach

Source code for implementing and predictive analysis of recommender system for the Nigeria Stock Market with ML

Source code used for implementing and predicting the recommender system for the Nigeria Stock Market

TunPredML: A Machine Learning-Based Financial Decision Support System for Crisis-Aware Stock Market Forecasting and Risk Mitigation: Empirical Insights from the Tunisian Stock Market

Modeling Stock Market Volatility Using GARCH Approach on the Ghana Stock Exchange

The study examined and modeled stock market volatility of financial return series for three listed e

FRAMEWORK FOR PRICE PREDICTION IN THE NIGERIAN STOCK MARKET USING DATA MINING TECHNIQUES

The stock market has become an integral part of the modern financial system, playing a significant r

Applications Of Machine Learning And ARIMA In Emerging Market: Evidence From Predictive Inefficiency In The Nigerian Stock Exchange

Background: The challenge of forecasting stock prices in the capital markets of developing countries

A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism

Tunisia is well placed in terms of medical tourism and has highly qualified and specialized medical