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Ubiquitous availability of human mobility data has opened up new possibilities to address a multitude of application domains. However, so far, the visual analysis of this data has been hindered by the limited ability to explore and query complex movement sequences and to create models that allow meaningful aggregation. To address this problem, this paper presents a novel analytical approach that allows...
To gain valuable information from the large number of the competition data accumulated these years and give the constructional idea on data mining process model of college students' competition. We give constructive thoughts of college competition data mining process model based on relevant data mining theory and character of the data. This process model of data mining can provide macroscopic direction...
Nowadays, many MOOC platforms have arisen to provide free knowledge. These platforms have a large catalog of courses for different specializations that progressively demand more specific learning resources and assessment methods to evaluate the progression of students. Current MOOC platforms are gradually giving support to these new requirements but with a limited assistance. This paper presents the...
Disease risk assessment plays an important role in controlling the diffusion of infectious diseases. It needs a large number of environmental, social, and economic development data in order to discover the pathogenic factors of a given disease. However, the conventional disease risk assessment is carried out mainly through the analysis of geographic data and non-geographic data released by officials...
Provenance captured from E-Science experimentation is often large and complex, for instance, from agent-based simulations that have tens of thousands of heterogeneous components interacting over extended time periods. The subject of study of my dissertation is the use of E-Science provenance at scale. My initial research studied the visualization of large provenance graphs and proposed an abstract...
Learning analytics can give powers to teachers and learners to optimize their teaching and learning. This paper presents the design and implementation of learning analytics system for teachers and students based on a special LMS -- THEOL LMS, which is commonly used in blended learning in universities and colleges. The technical architecture of learning analytics system for teachers and students is...
The technology applied to educational contexts, and specially the learning platforms, provides students and teachers with a set of tools and spaces to carry out the learning processes. Information related to the participation and interaction of these stakeholders with their peers and with the platform is recorded. It would be useful to exploit this information in order to make decisions. However this...
To make decisions about the long-term preservation and access of large digital collections, archivists gather information such as the collections' contents, their organizational structure, and their file format composition. To date, the process of analyzing a collection — from data gathering to exploratory analysis and final conclusions — has largely been conducted using pen and paper methods. To...
In the past years research done in the field of structural health monitoring has been focusing on the development of a robust and cost-effective monitoring solution by integrating and extending technologies from various engineering and information technology disciplines. There are many data mining, statistical computing and graphics tools available that can be successfully applied and integrated into...
Extending the capabilities of PC, Web, and mobile applications through on-demand cloud services will significantly broaden the research community's capabilities, accelerating the pace of engineering and scientific discovery in this age of data-driven research. The net effect will be the democratization of research capabilities that are now available only to the most elite scientists.
In the past decades, the amount of information available to law enforcement agencies has increased significantly. Most of this information is in textual form, however analyses have mainly focused on the structured data. In this paper, we give an overview of the concept discovery projects at the Amsterdam-Amstell and police where Formal Concept Analysis (FCA) is being used as text mining instrument...
A good visualization model for Data Warehouse (DW) should be semantically enriched enough so that it can express analytical contents along with the multidimensional data model artifacts to the end-user and decision makers. In this paper the OLAP Umbrella visualization model has been proposed for the purpose. Besides preserving the classical multidimensional data model artifacts and OLAP specific contents,...
Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT) is an Office of Secretary of Defense (OSD) funded effort to develop surveillance and data analysis capability for environmental issues, epidemics, and occupational safety data analysis. This paper presents the application of E3SAT technology for avian influenza data mining and surveillance. The main goal of our data...
The advent of highly accurate, large scale volumetric simulations has made data analysis and visualization techniques an integral part of the modern scientific process. To develop new insights from raw data, scientists need the ability to define features of interest in a flexible manner and to understand how changes in the feature definition impact the subsequent analysis of the data. Therefore, simply...
With the surge of complex network and the rapid growth of the text data, the network modeling and visualization analysis focusing on the text data are urgently needed. This paper proposes and implements such a framework and prototype system based on Chinese text. The system extracts entities and their relations from the Chinese text data, and then constructs three kinds of networks to discover the...
Visual data mining can help in dealing with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process, through analysis the results of the information visualization, user can integrate the specialist knowledge with the data mining algorithm. This paper summarizes current visualization methods applied in data mining. Current...
During visual analysis, users must often connect insights discovered at various points of time. This process is often called ldquoconnecting the dots.rdquo When analysts interactively explore complex datasets over multiple sessions, they may uncover a large number of findings. As a result, it is often difficult for them to recall the past insights, views and concepts that are most relevant to their...
Discovering and extracting linear trends and correlations in datasets is very important for analysts to understand multivariate phenomena. However, current widely used multivariate visualization techniques, such as parallel coordinates and scatterplot matrices, fail to reveal and illustrate such linear relationships intuitively, especially when more than 3 variables are involved or multiple trends...
Visual analytics tools provide powerful visual representations in order to support the sense-making process. In this process, analysts typically iterate through sequences of steps many times, varying parameters each time. Few visual analytics tools support this process well, nor do they provide support for visualizing and understanding the analysis process itself. To help analysts understand, explore,...
Fluid-flexible-structure-interaction is a challenging problem in fluid dynamics that is not well understood, due to the highly complicated nature of the problem. Vortex motion plays a central role in such interaction. In this paper we visualize the vortex shedding from a flexible plate tethered at its midline in a viscous incompressible flow in three dimensions. By arranging visualized features along...
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