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Complex networks arise everywhere. Online social networks are famous complex networks examples due to (a) revolutionizing the way people interact on the Web, and (b) permitting in practice the study of interdisciplinary theories that arise from human activities, at both micro (i.e. individual) and macro (i.e. community) level. The vast scale (Big-data) of online human interactions impose certain challenges,...
In this paper, we propose a method to recognize human body movements and we combine it with the contextual knowledge of human-robot collaboration scenarios provided by an object affordances framework that associates actions with its effects and the objects involved in them. The aim is to equip humanoid robots with action prediction capabilities, allowing them to anticipate effects as soon as a human...
Mobile payments become more and more popular and thus are very attractive targets for fraudsters. As the latter always find new ways to commit crimes and avoid detection, research in the field of fraud is always evolving. However, transactional data and feedback from existing services are lacking. This article addresses this issue by proposing a synthetic data generator. Our idea is to model the behavior...
In this paper we present the motivation, design, development, and initial evaluation of a time awareness technology for meetings. As part of improving meetings effectiveness using technology, we focus on the meeting time management, and the method relies on presenting real-time notifications of the progression of the meeting phases to the participants. We then evaluate the utility of the technology,...
Trustworthy e-commerce applications are not easy to design. Currently, patches are periodically released to countermeasure trust issues that arise in e-commerce communities. In this paper, we propose a methodology for designing trustworthy applications that enables an application designer to model applications resilient to trust related threats early in the development life cycle. Such modeling requires...
Data interoperability in scientific research is a major challenge. Heterogeneous data file formats, data structure formats, and data storage schemas are prevalent in the scientific research community. This poses a great challenge for collaboration between researchers due to data interoperability issues. In our prior work, we have addressed these challenges by proposing a web-enabled approach for generating...
Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer...
Big Data are becoming a new technology focus both in science and in industry. This paper discusses the challenges that are imposed by Big Data on the modern and future Scientific Data Infrastructure (SDI). The paper discusses a nature and definition of Big Data that include such features as Volume, Velocity, Variety, Value and Veracity. The paper refers to different scientific communities to define...
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