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In cloud computing environment, because of the open environment and centralized organizational structure, it is difficult to build trust relationships between cloud services and users. In this paper, a model to evaluate the credibility of services in cloud computing environments based on multi-factor is proposed. The trust evidence, the scene and time were classified as service credibility impact...
Collaborative Learning is seen as an effective leaning strategy to increase students' achievement, create positive relationships among learners in online education. The traditional hypothesis of partner selection in collaborative learning is that teachers must be skilled at the task to assign the learning partners, or the collaboration will not benefit an individual if he or she is below a certain...
Educational Data Mining and Learning Analytics are two growing fields of study, trying to make sense of education data and to improve teaching and learning experience. We study dropout prediction in Massively Open Online Courses (MOOCS), where the goal is given student's learning behavior log data in one month, to predict whether students would drop out in next ten days. We collect 39 courses data...
Collaborative innovation is a tendency for research institutions in the knowledge-and technology-intensive (KTI) economic activities. With the growth of Government R&D investment, it is extremely important to explore the big data on research innovation. In this paper, we give the classification and characteristics of the big data in the field of research innovation, and then talk about data mining...
Convolutional Neural Networks (CNNs) have substantially advanced the state-of-the-art accuracies of object recognition, which is the core function of a myriad of modern multimedia processing techniques such as image/video processing, speech recognition, and natural language processing. GPU-based accelerators gained increasing attention because a large amount of highly parallel neurons in CNN naturally...
Based on the study of linguistics, Information Science and Library and Information Science, we research on the real-time news posted on the authority sites in the world's major countries. By analyzing the massive news of different information sources and language origins, we come up with a basic theory model and its algorithm on news, which is capable of intelligent collection, quick access, deduplication,...
With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make...
This paper proposes a mobile smart health service platform - Fihuo based on the analysis of big data. Fihuo can present the long-term health-related data and ambient data to users, which are collected through wearable devices, smartphone applications and background big data processing mechanism. Fihuo can analyze and compare the health-related data, moreover provide the on-line browsing and monitoring...
Video is able to convey huge amount of information and it is now one of the most popular media of content service on Internet. After HTML5 emerged, supporting playing video files by using the "" tag becomes the new standard. Nowadays, most of the devices and browsers have already supports playing video online by HTML5 player. Unlike the traditional stream video service, the video tag in...
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
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