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When hydrologic scientists are looking for data to use in their data models relevant to their research area, they encounter a bottleneck when trying to collect relevant information, sometimes they might not know of all the available sources. Great Lakes Monitoring (GLM) collects data from 5 different state and federal agencies that take measurements on nutrients, geochemicals, contaminants, among...
In the last 20 years the term of Big Data took strength which refers to datasets that in size exceed the ability of typical database tools to capture store manage and analyze. Big Data visual analysis is a new field that is emerging as a powerful tool for extracting useful information. This paper discusses the revision of 83 articles on visualization techniques for Big Data of the last six years for...
The success of Big Data relies fundamentally on the ability of a person (the data scientist) to make sense and generate insights from this wealth of data. The process of generating actionable insights, called data exploration, is a difficult and time-consuming task. Data exploration of a big dataset usually requires first generating a small and representative data sample that can be easily plotted...
An important task of smart campus construction is the foundation of building a unified platform, to achieve data sharing and service sharing, three-dimensional geographic information technology has the strong bearing capacity, good visual effect, and can fully express the spatial characteristics of the complex relationship has become one of the key technologies of multi domain application. This article...
High-radix, low-diameter, hierarchical networks based on the Dragonfly topology are common picks for building next generation HPC systems. However, effective tools are lacking for analyzing the network performance and exploring the design choices for such emerging networks at scale. In this paper, we present visual analytics methods that couple data aggregation techniques with interactive visualizations...
Tasks coupled in an in situ workflow may not process data at the same speed, potentially causing overflows in the communication channel between them. To prevent this problem, software infrastructures for in situ workflows usually impose a strict FIFO policy that has the side-effect of slowing down faster tasks to the speed of the slower ones. This may not be the desired behavior; for example, a scientist...
The convergence of IoT, cloud computing and big data creates new opportunities for diabetes management. There are many research projects on diabetes management in the literature. They are generally based on web application architectures and rely on traditional data management systems. This paper firstly describes the big data characteristics and then discusses the perspectives of healthcare systems...
Visualization of data helps to transform a problem into a perceptual task that is easier to comprehend. It helps users to perceive patterns from large amount of data in order to make informed decisions. When visualization is coupled with interactive techniques, it boosts cognition levels in users, as the users can now directly interact with the data. In this paper, we present some of the popular techniques...
Software systems can grow large, consisting of thousands of hierarchically organized elements like directories, subdirectories, files, and functions. Moreover, those hierarchy elements can carry additional information worth investigating for a software developer. Getting an overview of both the hierarchy and the attached static or dynamic data can become a tedious task if it is not supported by a...
Geoid is the physical model of the Earth and serves as the most realistic and ideal high reference field. Geoid application is developed as well as the application of height determination with GPS technology. The height that obtained from GPS observation is geometric height, so that needed modelling precise geoid in order to convert geometric height data to the height data that has physical meaning...
The HL7 Fast Healthcare Interoperability Resources (FHIR) specification is emerging as a next generation standards framework for the exchange of electronic health records (EHR) data. The rich semantic representation and sophisticated structure definition of the FHIR requires a relatively deep learning curve to understand and utilize. The objective of our study is to design and develop a user-friendly...
The analysis of large amounts of multidimensional road traffic data for anomaly detection is a complex task. Visual analytics can bridge the gap between computational and human approaches to detecting anomalous behavior in road traffic, making the data analysis process more transparent. In this paper, we present a visual analytics framework that provides support for: 1) the exploration of multidimensional...
In this paper, we present a distributed data visualization framework for HPC environments based on the PBVR (Particle Based Volume Rendering) method. The PBVR method is a kind of point-based rendering approach where the volumetric data to be visualized is represented as a set of small and opaque particles. This method has the object-space and image-space variants, defined by the place (object or image-...
Social media analysis is a fast growing research area aimed at extracting useful information from huge amounts of data generated by social media users. This work presents a Java library, called ParSoDA (Parallel Social Data Analytics), which can be used for developing parallel data analysis applications based on the extraction of useful knowledge from large dataset gathered from social networks. The...
Dynamic graphs are typically represented in a time-to-space mapping with the goal to preserve the mental map in order to reduce cognitive efforts for comparison tasks. Such a mapping from time to space has the general drawback that space limitations are sooner reached than in corresponding time-to-time mappings to which graph animation belongs. Consequently, to get an overview about the dynamics in...
Smoothed particle hydrodynamics (SPH) is a popular mesh-free, particle-based fluid simulation approach for a wide range of applications. There are several numerical variants of SPH along with a variety of models for aspects such as boundary conditions, compressibility or incompressibility, and surface tension. Different combinations of these models lead to varying effects that occur during simulation,...
In this paper we address the question of the relationships between visualization challenges and the representation components that provide solutions to these challenges. Our approach involves extracting such relationships through an identification of the context and the components of a significant number of representations and a comparison of the result to existing theoretical studies. To make such...
Visual analytics plays a key role in bringing insights to audiences who are interested and dedicated in data exploration. In the area of relational data, many advanced visualization tools and frameworks are proposed in order to dealing with such data features. However, the majority of those have not greatly considered the whole process from data-model mining to query utilizing on dimensions and data...
The paper presents automated relational technology ART Studio that generates end-user decision trees from relational data automatically. End-users navigate down these tree structures to pinpoint information managed by the RDBMS. This decision tree reflects and selfreferences data in the database; it turns the data inside out. To generate this visualization, the Studio models a uniform pattern of data...
The quality of distance learning courses is determined by the proper organization of the teaching material and methodology. However, it should be taken into account, among other factors, the history of successes and failures of previous achievements of a course, as well as the profile of the new classes of students. This work proposes a data visualization model based on the Learning Analytics of a...
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