Background: The banking industry can create sustainable development and be a competitive advantage of the enterprise by promoting a sustainable environment and investment focused on social responsibility. Therefore, the present study was formed with the aim of identifying the components of innovative green banking based on bioethics. Method: The research method in the present study was qualita...

Business intelligent (BI) technologies have been adopted by different types of organizations. The banking sector is among the service industry that has been largely influenced by technology currently. This has been manifested in the way the operations of banking have evolved from the pure exchange of cheques, cash, as well as other negotiable platforms to the application of IT (information Tech...

The aim of this paper is to evaluate the nature and changes of market concentration in the Malaysia’s Islamic banking due to the restructuring of Islamic banking industry within the liberalization wave in the banking market. A total of 17 Islamic banks operating over the period of 2000-2010 had been considered. The structural approach framework was used to evaluate the nature and changes of mar...

Online mining of frequent itemsets over a stream sliding window is one of the most important problems in stream data mining with broad applications. It is also a difficult issue since the streaming data possess some challenging characteristics, such as unknown or unbound size, possibly a very fast arrival rate, inability to backtrack over previously arrived transactions, and a lack of system co...

The sliding window algorithm is widely used in many standard network protocols. It can ensure a correct data transfer over unreliable channels where packets may be duplicated, lost, or re-ordered. By now only few papers have presented the performance of the sliding window protocol. A number of parameters affecting the overall performance of the system still need to be investigated systematicall...

Sliding window is an interesting model to solve frequent pattern mining problem since it does not need entire history of received transactions and can handle concept change by considering recent data. However, in the previous sliding window algorithms, required amount of memory and processing time with respect to limited number of transactions within window is very large. To overcome this short...

The purpose of this study is to investigate the causal relationship between the structure and performance in the banking industry of Iran. In doing so, the data and information of public and private banks from 1996 to 2015 is examined using Toda-Yamamoto causality test (TY) and Autoregressive Distributed Lag (ARDL) approach. Herfindahl-Hirschman index (HHI) (the degree of market concentration) ...

the iranian banking sector has undergone huge and substantial reform in the last decade; privatization, establishment of private banks and development of modern technologies (it). this paper investigates the competitive condition of the iranian banking industry over the period 2005-2010 using the h-statistic proposed by panzar and rosse. the properties of this non-structural methodology make it...