Modern portfolio theory introduced by Markowitz in 1952 is the most popular portfolio
optimization framework established based on the trade-off between risk and return as an …

Financial forecasting is an area of research which has been attracting a lot of attention
recently from practitioners in the field of artificial intelligence. Apart from the economic …

The purpose of this paper is to implement association rule mining algorithm using Nvidia
CUDA framework for general purpose computing on GPU. The major objective is to perform …

Planning stock portfolios is a challenging task, because investors have to forecast stock
market trends. To limit losses due to wrong forecasts a common strategy is diversification …

Stock market prediction with forecasting algorithms is a popular topic these days where most
of the forecasting algorithms train only on data collected on a particular stock. In this paper …

Purpose The purpose of this paper is to assess the readiness of Ugandans to accept
electronic voting under the restrictive conditions of the COVID-19 pandemic …

Stock market prediction is essential and of great interest because successful prediction of
stock prices may promise smart benefits. These tasks are highly complicated and very …

Patterns and classification of stock or inventory data is very important for business support
and decision making. Timely identification of newly emerging trends is also needed in …

There has been a lot of interest in mining the time series data. Stock data mining plays an
important role to visualize the behavior of financial market. In financial data mining the data …

In sports, athlete monitoring is important for preventing injuries and optimizing performance.
The multitude of relevant factors during the exercise sessions, such as weather conditions …