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In this paper we present a parallel dynamic mean shift algorithm based on path transmission for medical volume data segmentation. The algorithm first translates the volume data into a joint position-color feature space subdivided uniformly by bandwidths, and then clusters points in feature space in parallel by iteratively finding its peak point. Over iterations it improves the convergent rate by dynamically...
The percentage of individuals frequently using their smartphones in work and life is increasing steadily. The interactions between individuals and their smartphones can produce large amounts of usage data, which contain rich information about smartphone owners usage habits and their daily life. In this paper, a visual analytic tool is proposed to discover and understand individual behavior patterns...
Subspace-based analysis has increasingly become the preferred method for clustering high-dimensional data. A visually interactive exploration of subspaces and clusters is a cyclic process. Every meaningful discovery will motivate users to re-search subspaces that can provide improved clustering results and reveal the relationships among clusters that can hardly coexist in the original subspaces. However,...
Taking VAST 2015 Mini-challenge 2 (MC2) as background, this paper presents a visual analytics solution for exploring various communication patterns in the mobile application data generated by a great number of visitors in a theme park. The main body of our solution consists two parts: a three-step data preprocessing and two visual analysis tools. A variety of advanced analytic techniques are applied...
Radviz is a radial visualization technique which maps data from multiple dimensional space onto a planar picture. The dimensions placed on the circumference of a circle, called Dimension Anchors (DAs), can be reordered to reveal different patterns in the dataset. Extending the number of dimensions can enhance the flexibility in the placement of the DAs to explore more meaningful visualizations. In...
Dealing with diverse data sources has becoming a new challenge in visual analytics. MEAT intelligence analysis system is designed to meet the challenge of VAST 2014 Mini-Challenge 1 [1]. Using a coordinated multiview with a clear interaction pipeline, MEAT supports complicated analyzing tasks, including intelligence collection and reasoning. Using MEAT, we have successfully mined a great amount of...
Advanced digital forensics technologies provide powerful basis in criminal investigation. Due to the complexity and diversity of data as well as the increasing quantity of the data, traditional digital forensics technologies have already can not adapt to the analysis requirements. This paper provides a visualization approach to analyze multiple types of data for digital forensics which provide users...
NetSecRadar is a visual analytics system to aid in monitoring the network security in real time and perceiving the overall view of the security situation using radial graph. At present, we use this tool mainly for IDS alerts to analyze the irregular behavioral patterns, and synthesize interactions, filtering and drill-down to detect the potential intrusions. In conclusion, we describe how this system...
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