We describe the preliminary development of an interactive visualization tool intended to produce a multi-layered visual interface design that allows for fast, easy navigation and analysis of digital text corpora and t...
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ISBN:
(纸本)9781612846385
We describe the preliminary development of an interactive visualization tool intended to produce a multi-layered visual interface design that allows for fast, easy navigation and analysis of digital text corpora and text communications, allowing for more efficient distributed collaboration and communications in the virtual world.
In order to scientifically analyze the coal mining subsidence prediction, OpenGL technology is used to solve mining subsidence prediction model of the 3d visualization problem in this paper. By combining the mining su...
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In order to scientifically analyze the coal mining subsidence prediction, OpenGL technology is used to solve mining subsidence prediction model of the 3d visualization problem in this paper. By combining the mining subsidence theory and 3d visualization technology, the mining subsidence 3d model is established with using various coal parameters, geological features, and sample point prediction sinking data. Experimental results show that the forecasting model for mining subsidence can be analyzed from different dimensions by the 3d visualization of subsidence based on OpenGL platform. The OpenGL-based 3d visualization model can effectively solve the mining subsidence prediction stereoscopic observation and thus a class of problem with predicting model of 3d visualization is solved.
In this paper, we present our efforts in relation to the evaluation of an interactive web-based visualization tool developed for supporting environmental sciences learning. The tool enables the visualization of differ...
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In this paper, we present our efforts in relation to the evaluation of an interactive web-based visualization tool developed for supporting environmental sciences learning. The tool enables the visualization of different types of geo-tagged content and sensor data collected using mobile devices. It also utilizes APIs that provide multiple visual representations of the data set. These representations allow users to actively interact with graphs, maps, images, and data tables. In order to test the usability, novelty and interactivity of our web-based visualization tool, we have conducted a study involving university students in the field of teaching environmental sciences. The results and analysis of the user testing indicate that the tool's usability and performance were satisfactory. Outcomes from the user testing have resulted in a number of concrete suggestions for further enhancement and improvements of our visualization tool in relation to application functionality, navigation and interaction.
According to the lower Yellow River mathematical model features, the paper presents the water and sediment data model based on the object-oriented data modeling method. By anglicizing various data types, defining the ...
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ISBN:
(纸本)9781612848495
According to the lower Yellow River mathematical model features, the paper presents the water and sediment data model based on the object-oriented data modeling method. By anglicizing various data types, defining the properties and their relationship, this model can adapt to the lower Yellow River mathematical model features. Taking the river part from Huayuankou to Lijin as the experimental zone, the article has founded water and sediment mathematical model of the lower Yellow River, and realized the management analysis and visualization of the model data. The test result shows that the model can make the relationship of 2D water and sediment model data clear, and realize the data sharing management. Therefore, it can effectively reduce data storage redundancy. It's convenient to convert and input/output the data, and it can improve the visualization of scientific calculation.
More and more people build their own personal homepage on social networking sites to communicate with others online,forming huge social *** this paper, system architecture of a personal social network visualization sy...
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More and more people build their own personal homepage on social networking sites to communicate with others online,forming huge social *** this paper, system architecture of a personal social network visualization system is *** and implementation of its functional modules,such as web scraping,data extraction,data preprocessing,social network analysis and visualization are *** introducing the concept of similarity degree,the visualization results can reflect the personal social network structure more clearly,enabling individuals to observe and understand their own social networks efficiently and entertainingly,to find out the hidden useful information,such as potential valuable friends or online communities,and to expand their social network effectively.
We present a system for the interactive construction and analysis of decision trees that enables domain experts to bring in domain specific knowledge. We identify different user tasks and corresponding requirements, a...
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We present a system for the interactive construction and analysis of decision trees that enables domain experts to bring in domain specific knowledge. We identify different user tasks and corresponding requirements, and develop a system incorporating a tight integration of visualization, interaction and algorithmic support. Domain experts are supported in growing, pruning, optimizing and analysing decision trees. Furthermore, we present a scalable decision tree visualization optimized for exploration. We show the effectiveness of our approach by applying the methods to two use cases. The first case illustrates the advantages of interactive construction, the second case demonstrates the effectiveness of analysis of decision trees and exploration of the structure of the data.
We present a visual analysis tool for mining correlations in county-level, multidimensional gun/homicide data. The tool uses 2D pexels, heatmaps, linked-views, dynamic queries and details-on-demand to analyze annual c...
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We present a visual analysis tool for mining correlations in county-level, multidimensional gun/homicide data. The tool uses 2D pexels, heatmaps, linked-views, dynamic queries and details-on-demand to analyze annual county-level data on firearm homicide rates and gun availability, as well as various socio-demographic measures. A statistical significance filter was implemented as a visual means to validate exploratory hypotheses. Results from expert evaluations indicate that our methods outperform typical graphical techniques used by statisticians, such as bar graphs, scatterplots and residual plots, to show spatial and temporal relationships. Our visualization has the potential to convey the impact of gun availability on firearm homicides to the public health arena and the general public.
We propose a method for the semi-automated refinement of the results of feature subset selection algorithms. Feature subset selection is a preliminary step in dataanalysis which identifies the most useful subset of f...
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We propose a method for the semi-automated refinement of the results of feature subset selection algorithms. Feature subset selection is a preliminary step in dataanalysis which identifies the most useful subset of features (columns) in a data table. So-called filter techniques use statistical ranking measures for the correlation of features. Usually a measure is applied to all entities (rows) of a data table. However, the differing contributions of subsets of data entities are masked by statistical aggregation. Feature and entity subset selection are, thus, highly interdependent. Due to the difficulty in visualizing a high-dimensional data table, most feature subset selection algorithms are applied as a black box at the outset of an analysis. Our visualization technique, SmartStripes, allows users to step into the feature subset selection process. It enables the investigation of dependencies and interdependencies between different feature and entity subsets. A user may even choose to control the iterations manually, taking into account the ranking measures, the contributions of different entity subsets, as well as the semantics of the features.
Geo-scientific engineering is an ongoing project to obtain data, analyze data and process data, especially in the geological engineering investigation, design and construction process. We aimed to quick process and ti...
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Geo-scientific engineering is an ongoing project to obtain data, analyze data and process data, especially in the geological engineering investigation, design and construction process. We aimed to quick process and timely feedback of all kinds of unexpected data and information to guide the construction. visualization technology is used to effectively and intuitively process and synthesize data. The dataflow model of 3D visualization process is described, and the visualization technologies are introduced to construct the geo-objects from 3D geospatial data. The applications of 3D visualization technologies to the analysis and processing of geological engineering data will improve the management and utilization of various geological engineering data for the engineering staff, and will promote the geo-scientific work effectively towards the direction of digitalization and visualization.
Event sequence analysis is an important task in many domains: medical researchers may study the patterns of transfers within the hospital for quality control;transportation experts may study accident response logs to ...
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ISBN:
(纸本)9781450302289
Event sequence analysis is an important task in many domains: medical researchers may study the patterns of transfers within the hospital for quality control;transportation experts may study accident response logs to identify best practices. In many cases they deal with thousands of records. While previous research has focused on searching and browsing, overview tasks are often overlooked. We introduce a novel interactive visual overview of event sequences called LifeFlow. LifeFlow is scalable, can summarize all possible sequences, and represents the temporal spacing of the events within sequences. In this video, we show an example of patient transfer data and briefly demonstrate how to analyze them with LifeFlow. Please see [11] or visit http://***/hcil/lifeflowformoredetail.
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