There are many methods introduced to solve the credit scoring problem such as support vector machines, neural networks and rule based classifiers. Rule bases are more favourite in credit decision making because of their ability to explicitly distinguish between good and bad applicants.In this paper multi-objective particle swarm is applied to optimize fuzzy apriori rule base in credit scoring. ...

Social mix policies have become controversial. Claims about the harms caused by neighbourhood effects have been challenged while counter-claims have been made about the potential benefits for low-income households from living in poor communities. This paper examines two aspects of this debate: whether deprived communities provide greater access to social networks and hence resources in the form...

In this paper, we report on the initial design and implementation of a project entitled RE@L Research Environments Associated with Learning through Social Networks. Our goal is to examine how future science gateways that rely on immersive virtual environments and Web 2.0 technologies can bridge the gap between research and education. To this end, we strategically apply middleware technologies i...

Nowadays, many websites allow social networking between their users in an explicit or implicit way. In this work, we show how argumentation schemes theory can provide a valuable help to formalize and structure on-line discussions and user opinions in decision support and business oriented websites that held social networks among their users. Two real case studies are presented and analysed. The...

We describe a link prediction method based on a scalable community detection algorithm. It can be used to recommend new links in a real world social network with millions of users. Using a Hadoop cluster, we test our implementation on a Twitter user network containing 40 million users and 1.4 billion connections. We show that communities detected can then be used to recommend new users to follo...

The use of intelligent techniques in various decision support systems has recently become one of the most exciting and promising application areas. In this paper, we try to utilize Neural Networks (NNs) and the Temporal Di€erence Learning (TD-Learning) Method to construct an intelligent decision support system for dealing stocks. We also brie ̄y touch upon an intelligent sales prediction system ...

This manuscript discusses the development, impact, and several major research findings of studies in the area of social network support and health outcomes. The review focuses largely on the development of online social support networks and the ways in which they may interact with face-to-face support networks to influence physical and psychological health outcomes. The manuscript discusses thi...

In this study, I present a real-time gender and age estimation approach that I developed for the course project of Artificial Neural Networks. For these tasks, I employed a local appearance-based representation using Discrete Cosine Transform (DCT), which has been shown to be very effective in realtime processing and robust against changes caused by light and facial expressions. Using these fea...

In this paper we present method of features extraction based on decomposition of the characters into several simple geometric shapes (segment, arc) by detecting the branch points and end points, as it explained follow a new methods are using to treated the obtained information in order to decide if the characters need to add more key points also in this step we extracte the type of the shapes (...