Regulatory change not seen since the Great Depression swept the U.S. banking industry beginning in the early 1980s, culminating with the Interstate Banking and Branching Efficiency Act of 1994. Significant consolidations have occurred in the banking industry. This paper considers the market-power versus the efficient-structure theories of the positive correlation between banking concentration a...

Now a day’s due to emerging global economy, e-commerce and e-business have increasingly become a necessary component of business strategy and a strong catalyst for economic development. The integration of information and communications technology in business has revolutionized relationships within organizations and those between and among organizations and individuals. The new information techn...

⎯ All modern communication systems rely on the correct operation of communication protocols that are running in different layers of protocol stacks. Hence, a deep knowledge and understanding of them must be possessed by all communications engineers. Therefore, a basic communication protocols course must be an essential constituent of any higher education communications engineering programme. Au...

Evolving data streams are ubiquitous. Various clustering algorithms have been developed to extract useful knowledge from evolving data streams in real time. Density-based clustering method has the ability to handle outliers and discover arbitrary shape clusters whereas grid-based clustering has high speed processing time. Sliding window is a widely used model for data stream mining due to its e...

m any middle-east countries, like iran, have dynamic banking industries and have observed merger and acquisitions (m&a) waves. m&a waves are usually defined in the developed world context and some of their main drivers were identified as: market timing, environment's shocks, merger manias, government regulation and regulatory, and technological changes. it has been discussed that merge...

Pathogen incidence rate prediction, which can be considered as time series modeling, is an important task for infectious disease incidence rate prediction and for public health. This paper investigates applying a genetic computation technique, namely GEP, for pathogen incidence rate prediction. To overcome the shortcomings of traditional sliding windows in GEP based time series modeling, the pa...

Enterprise Resource Planning application software is appropriate for organizations in all economic sectors including banking industry. This wide applicability is largely possible as ERP offers considerable flexibility to customize the software by tailoring it to the individual organizational needs. In this short review paper, it is attempted to enumerate potential and prospects of ERP system in...