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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...
We propose a novel calculation method of personality based on the Chinese physiognomy. The proposed solution combines the ancient and the modem physiognomy to summarize the corresponding relation between the personality and facial feature and model the baseline to shape the face feature. We compute histogram of image by searching for the threshold values to create a binary image in an adaptive way...
Big Data, structured and unstructured data, contains millions attributes in multiple dimensions. This has arisen threeissues: 1) how to measure the structured and unstructured multidimensional data patterns for Big Data analysis; 2) how to display multidimensional data patterns in normal size of screen; 3) how to optimize the data attributes in Big Data visualization. In this work, we have visual...
The subject of algorithms is a core component of Computer Science for undergraduate students. Many of innovative teaching methods have been proposed in the literature and practiced in classrooms aiming to help students learn the subject effectively. This paper reports on our experience in teaching advanced data structures and classic computer science algorithms for year 2 students. For three consecutive...
Feature analysis is always beneficial to the detection of anonymous criminals in digital forensics, including people and activities, where vast amount of features extracted from databases are involved. Not all features extracted are continuous or different, some of them are discrete or have the same value with others. We discovered that using visual analytics to select features for forensic investigations...
Clustered Graph Visualization, such as DA-TU [2], has been successfully applied in the field of large scale relational data visualization for data analytics. However, it was very inefficient in interactions by using WIMP based HCI in DA-TU, in which a Control Panel was required to swap among eight different modes of operation. In this paper, we attempt to use a new multi-touch enabled NUI method for...
Computer forensics investigators aim to analyse and present facts through the examination of digital evidences in short times. As the volume of suspicious data is becoming large, the difficulties of catching the digital evidence in a legally acceptable time are high. This paper proposes an effective method for reducing investigation time redundancy to achieve the normalization of data on hard disk...
Parallel coordinate is a popular tool for visualizing high-dimensional data and analyzing multivariate data. With the rapid growth of data size and complexity, data clutter in parallel coordinates is a major issue for Big Data visualization. This has given rise to three problems, 1) how to rearrange the parallel axes without the loss of data patterns, 2) how to shrink data attributes on each axis...
Information visualization is a very important tool in BigData analytics. BigData, structured and unstructured data which contains images, videos, texts, audio and other forms of data, collected from multiple datasets, is too big, too complex and moves too fast to analyse using traditional methods. This has given rise to two issues; 1) how to reduce multidimensional data without the loss of any data...
Clustered graph drawing is widely considered as a good method to overcome the scalability problem when visualizing large (or huge) graphs. Force-directed algorithm is a popular approach for laying graphs yet small to medium size datasets due to its slow convergence time. This paper proposes a new method which combines clustering and a force-directed algorithm, to reduce the computational complexity...
This paper extends a previous work on node link tree visualization and interaction by providing visual clues on hidden structures. We adopt the effectiveness of DOI Tree, a multi-focal tree layout algorithm, for exploring large hierarchical structures. The advantages of visualization are its most familiar mapping for users, its capability on providing multiple focused nodes, and its dynamic rescaling...
Big Data, which contains image, video, text, audio and other forms of data, collected from multiple datasets, is difficult to process using traditional database management tools or applications. In this paper, we establish the 5Ws model by using 5Ws data dimension for Big Data analysis and visualization. 5Ws data dimension stands for, What the data content is, Why the data occurred, Where the data...
Flood attacks are common threats to Internet, which has necessitated the need for visual analysis within an intrusion detection system to identify these attacks patterns. The challenges are how to increase the accuracy of detection and how to visualize and present the patterns of flood attack for early detection. In this paper, we introduce a Two-Density model that contains two coefficients: sending-density...
Flood attack patterns have variability depending on the network environment. It has been necessitated that the need for visual analysis within an Intrusion Detection System (IDS) is to identify these flood-attack patterns. The challenges are how to increase the accuracy of detection and how to visualize and present flood attack patterns in networks for early detection. In this paper, we propose a...
Data Visualization and Visual Analytics (DVVA) techniques help human to extract essential information and knowledge from large and complex data sets, and then represent them clearly and comprehensively in the graphic format for better understanding. These techniques have been successfully applied in many areas, including the application in computer forensic science. This paper discusses the background,...
Clustered graphs have been widely consisted in Graph Drawing to overcome the problem of drawing large (or huge) graphs with thousands, or perhaps millions of nodes. Force-directed algorithm is one of the available approaches to draw such graphs with good layouts. However, the force directed methods are often produce very different layout outcomes based on different clustering algorithms that greatly...
Visual Sensitivity analysis has proven its feasibility in data exploration and exposing relationships between the variables in the model. However, it lacks the ability of user direct interaction of outputs. To overcome this drawback for this interdisciplinary field, in this paper we introduce a novel approach of integrating an interactive visualization and a sensitivity analysis method into a visual...
Flood attacks are common forms of Distributed Denial-of-Service (DDoS) attack threats on internet in nature. This has necessitated the need for visual analysis within an intrusion detection system to identify these attacks. The challenges are how to increase the accuracy of detection and how to visualize and present flood attacks in networks for early detection. In this paper, we introduce three coefficients,...
This paper presents a new interactive scatter plot visualization for multi-dimensional data analysis. We apply RST to reduce the visual complexity through dimensionality reduction. We use an innovative point-to-region mouse click concept to enable direct interactions with scatter points that are theoretically impossible. To show the decision trend we use a virtual Z dimension to display a set of linear...
Visualization and interaction of multidimensional data always requires optimized solutions to integrate the display, exploration and analytical reasoning of data into one visual pipeline for human-centered data analysis and interpretation. Parallel coordinate, as one of the popular multidimensional data visualization techniques, is suffered from the visual clutter problem. Though changing the ordering...
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