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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 most important aim of our study is to realize a multi-database for social sciences and environmental sciences. Our system connects heterogeneous databases about historical phenomena by using common spatiotemporal information and visualize the connected results onto 5D World Map (a set of chronologically ordered global maps). To actualize that, we created a news articles provision system using...
This paper discusses the need for an integrative literature review on data visualizations, particularly in health and medical contexts. The paper analyzes 25 studies across disciplines. The findings suggest there is little agreement on the best way to visualize complex data for lay audiences, but some emerging effective practices are being develop. Pictographs, icon arrays, and bar charts seem to...
The adoption and availability of diverse application design and support platforms are making generic scientific application orchestration increasingly difficult. In such an evolving environment, higher level abstractions of design primitives are critically important using which end users have a chance to craft their own applications without a complete technical grasp of the lower level details. In...
In the era of big data, in order to understand the correlation between data with more intuitive and more effective. This paper designed an interactive visualization tool, exploring the overall data through exploring part of the data. Analysis on the function of visualization interactive technology based on baidu map API, echarts and jQuery UI. It described the general structure and the interaction...
Data visualizations have become an integral role for management system. It not only allows users to witness, explore and understand large amounts of information, but also convey information more directly expressed. This paper presents how to use JavaScript third-party library such as Flot and D3.js for collection, analysis, processing and visualization of data by using Ajax.
Availability and connectivity between data become an important factor in information processing. Distribution of Open Data has already gave contribution in providing data, but we still need to connect those data to create a useful solution. The objective of this research is to create web application prototype that can combine web scraping process, aggregation, and dashboard visualization by using...
There is no standard diagnostic test for Parkinson's Disease. In this paper, we propose a data mining based statistical diagnostic method towards a standard and accurate diagnostic test. The result shows the proposed regression formula, which only requires patient's stride data, can provide a 90% accuracy to diagnose PD patients.
With the development of science and technology, it generates a large amount of data. Data visualization is an important branch to help people get a better understanding of the changing trend of data. Data visualization is a significant method to Big Data Analysis, which shows the importance of data in a visual form. By using data visualization, people can easily find the association between data....
With a framework like OpenTuner, one could build domain-specific multi-objective program auto-tuners and gain significant performance improvements. But explaining why and interpreting the results are often hard, mainly due to the large number of parameters and the inability to figure out how each parameter affects the performance improvement. We have a solution that can explain the performance improvements...
Currently, how to deeply distill potential attributes of big data has become a great challenge for structured, semi-structured and unstructured data (SSU data) with a unified model. Structured data refers to any data that resides in a fixed field within a record or file including data contained in relational databases and spreadsheets. Unstructured data refers to data from text, pictures, audio, video,...
Network Functions Virtualization (NFV) enhances the flexibility of network service provisioning and reduces the time to services deployment. NFV and SDN promises transform the carrier networks, introducing innovation in the network core. NFV moves packet processing from dedicated hardware middleboxes to Virtualized Network Functions (VNFs), which run on virtual machines hosted on commercial off-the-shelf...
This article describes an approach to the situation analysis and the control of the services that providing city life activity based on data with visualization. It reviews sources and tools for collecting data about the urban infrastructure state, residents' needs and other information which is necessary for making decisions on city management. Visual way to present information is offered to make...
People use social media resources like Twitter, Facebook, forums etc. to shareand discuss various activities or topics. By aggregating topic trends acrossmany individuals using these services, we seek to construct a richer profileof a person's activities and interests as well as provide a broader context ofthose activities. This profile may then be used in a variety of ways tounderstand groups as...
At present, the collection of connected vehicles data is not a problem any more but the platform and visualization are the most needed for traffic data. Management of the collected data, platform operation, and visualization technology are the topics of this paper. Through using the new ECharts data visualization tool, we could achieve large data in real-time display with an ordinary WEB browser.
This article leads the concept of data visualization into the huge amounts of news data, design and implements a system of News Data Visual System (NDVS). It is a news gathering, analysis, structured storage and visual analysis system. NDVS collects news data in the schedule time from seeds website by a web spider that written by java every day. The structured documents that processed and analyzed...
In this paper, we present a visualization tool for person re-identification when tracking objects across non-overlapping cameras. Tracking objects across non-overlapping cameras is challenging because the observations from different cameras are widely separated in both time and space. Hence, these systems need a large amount of labeled training data. Commonly, this training data is constructed manually...
By building an alarm chart platform and the visualization matching model, the design frame of warning chart visualization system in low altitude airspace was explored. Aimed at the types of low altitude flight area and mission requirements, the suitable high resolution remote sensing datum were selected as the data source to establish multi-source remote sensing data collection system. After the extraction...
In large software systems, it is common practice to adopt third-party libraries. Decisions by system maintainers to either update or introduce new third-party libraries can range from trivial to complex. For instance, incompatibility between internal library dependencies may complicate adoption. Therefore, system maintainers especially need adequate assurance of any candidate library release. Using...
The criminal justice system in Charlottesville/Albemarle, VA, is a national leader in promoting Evidence Based Decision Making (EBDM)—relying on data to support decisions and evaluate policies and practices rather than on anecdotes or judgment alone. To implement EBDM more effectively, local criminal justice authorities—police, jail, pre- and post-trial services, and courts—are working together to...
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