Stock market prediction has always caught the attention of many analysts and researchers.
Popular theories suggest that stock markets are essentially a random walk and it is a fool's …

Gap constraint sequential pattern mining (SPM), as a kind of repetitive SPM, can avoid
mining too many useless patterns. However, this method is difficult for users to set a suitable …

Financial activities are closely related to human social life. Data mining plays an important
role in the analysis and prediction of financial markets, especially in the context of the …

Stock market forecasting has been a challenging part for many analysts and researchers.
Trend analysis, statistical techniques, and movement indicators have traditionally been used …

Stock selection in active portfolio management is a critical task if one wishes to outperform
the market. Many research efforts have been made to profitably pick stocks and create …

Stock market prediction is a very important aspect in the financial market. It is important to
predict the stock market successfully in order to achieve maximum profit. This paper will …

Mining user preferences from online reviews to understand the representative preferences
of different customer groups plays a critical role in product development and improvement …

Today, the use of social networking data has attracted a lot of academic and commercial
attention in predicting the stock market. In most studies in this area, the sentiment analysis of …

Metaheuristic algorithms are often trapped in local optimum solutions when searching for
solutions. This problem often occurs in optimization cases involving high dimensions such …

This paper presents a predictive model which to predict the trends of stock prices using Data
Mining techniques. This research will allow the investor to make a more informed decision to …