This paper introduces the development aspects of an intelligent agent for mutual fund investment decisions. The success of next-generation Enterprise Resource Planning (ERP) systems mainly depends on making intelligent systems more useful for automated planning and strategic-level decisions,...

This paper introduces the development aspects of an intelligent agent for mutual fund investment decisions. The success of next-generation Enterprise Resource Planning (ERP) systems mainly depends on making intelligent systems more useful for automated planning and strategic-level decisions,...

Serving customers' banking needs online has been proposed to be a cost-saving move for the Financial Institution (FI). These same online services have also been posited to result in higher customer value for the FI. This study analyses the records of two FIs (totalling over 500 000 users) to...

Serving customers' banking needs online has been proposed to be a cost-saving move for the Financial Institution (FI). These same online services have also been posited to result in higher customer value for the FI. This study analyses the records of two FIs (totalling over 500 000 users) to...

The paper introduces a new framework for assessing banks and financial firms using an intelligent model. The new assessment model uses heterogeneous variables evaluations and includes different business aspects of the company. A production-based rules model is provided, which includes...

Reliable stock market movement prediction is a challenging task. The difficulty is mainly due to the close to random-walk behaviour of a stock time series. A number of published techniques have emerged in the trading community for prediction tasks. One of them is neural network, NN. In this...

A history of the successful containment of healthcare costs, in addition to the federal government's endorsement of managed care, attributed to increasing numbers of Health Maintenance Organisations (HMOs) over the past 20 years. Unfortunately, with the increase in the number of organisations,...

Reliable stock market movement prediction is a challenging task. The difficulty is mainly due to the close to random-walk behaviour of a stock time series. A number of published techniques have emerged in the trading community for prediction tasks. One of them is neural network, NN. In this...

A history of the successful containment of healthcare costs, in addition to the federal government's endorsement of managed care, attributed to increasing numbers of Health Maintenance Organisations (HMOs) over the past 20 years. Unfortunately, with the increase in the number of organisations,...