Trust is the main concern of the Bank's customers regarding electronic and Internet services. The trust of both customers is logically and experimentally important to each other, and banks need to take more steps as service providers to maintain their customers. It is necessary to increase the factors affecting the satisfaction and reliability of customers in banks using data mining. In this paper, we examine the factors affecting the increase of customers' confidence in banking and Internet banking services and the impact of any perceived credit factor by public and private banks, service providers, and infrastructure providers in electronic banking. The presented method is based on scientific data mining algorithms such as clustering and classification of the decision tree J48 and the neural network, as well as a quick and practical application of the miner. Data are analyzed using a questionnaire with the bank customers of 25 Tejart bank branches in Tehran. The experimental results demonstrate that the accuracy of the decision tree classification algorithm is 84.04 and the neural network is 72.3%. تفاصيل المقالة

Community detection is a significant way to analyze complex networks. Classical methods usually deal only with the network's structure and ignore content features. During the last decade, most solutions for community detection only consider network topology. Social networks, as complex systems, contain actors with certain social connections. Moreover, most real-world social networks provide additional data about actors, such as age, gender, preferences, etc. However, content-based methods lead to the loss of valuable topology information. This paper describes and clarifies the problems and proposes a fast and deterministic method for discovering communities in social networks to combine structure and semantics. The proposed method has been evaluated through simulation experiments, showing efficient performance in network topology and semantic criteria and achieving proportional performance for community detection. تفاصيل المقالة