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A large amount of time-series data has been frequently used to extract the useful patterns and trends and to visualize them for better understanding. This work is focusing on visualizing personal lifelogging data for tracking back to personal histories. Thereby, we present several similarity measures between multi-dimensional data at two different time points. For human evaluation, the method has...
This paper proposes granularity-based temporal data mining method which constructs clinical process conducted by nurses. The methods consist of three process. First, data on counting sum of executed orders are extracted from hospital information system with a given temporal granularity. Then, similarity-based methods, such as clustering and multidimensional scaling (MDS) are applied to the data and...
Using the freeware in GitHub, we are often confused by a phenomenon: the new version of GitHub freeware usually was released in an indefinite frequency, and developers often committed nothing for a long time. This evolution phenomenon interferes with our own development plan and architecture design. Why do these updates happen at that time? Can we predict GitHub software version evolution by developers'...
We have proposed a framework named SO-MSR: service-oriented mining software repository, which applied service oriented architecture to MSR. Following the SO-MSR, we have developed a web service, named MetricsWebAPI, for metrics calculation from a variety of software repositories and a variety source codes. In this paper, we develop and propose Metrics Viewer, which is client of Metrics Viewer and...
We propose a novel method to model human actions by explicitly coding motion and structure features that are separately extracted from video sequences. Firstly, the motion template (one feature map) is applied to encode the motion information and image planes (five feature maps) are extracted from the volume of differences of frames to capture the structure information. The Gaussian pyramid and center-surround...
In this research, we developed a technique, the Swarm-based Visual Data Mining approach (SVDM), that will help user to gain insight into the Intrusion Detection System (IDS) alert event data stream, come up with new hypothesis, and verify the hypothesis via the interaction between the human and the system. This novel malicious user detection system can efficiently help security officer detect anomaly...
Large amount of social (communication) data have been generated in many applications for personal communication purpose. However, these data have not been used well currently. In this paper, we will introduce a methodology to collect and analyze those personal data, and by this for extracting social networks from the data. A system architecture will also be presented and implemented to show how the...
Knowledge constantly grows in scientific discourse and is revised over time by domain experts. The body of knowledge will get structured and refined as the communities of practice concerned with the field of knowledge develop a deeper understanding of issues. The knowledge model, as a result evolves to a new state to accommodate the new knowledge. Keeping trail of these changes in semantically rich...
From the history of modern design, we can see the facts which could not be ignored are that the language of traditional culture has been already expressed in the design, and the awareness of national traditions in the design culture is becoming more and more important in global economy and culture environment. This paper has re-examined the national traditional culture in the contemporary design from...
The application of knowledge visualization in collaborative conceptual design process is a new research field. One of the most important tasks is to find the influence factors which affect this process, as well as problems it facing. This paper presents a detailed research and analysis on these factors, based on a great deal of literature analysis in areas of knowledge visualization, organization...
Visual analytics tools provide powerful visual representations in order to support the sense-making process. In this process, analysts typically iterate through sequences of steps many times, varying parameters each time. Few visual analytics tools support this process well, nor do they provide support for visualizing and understanding the analysis process itself. To help analysts understand, explore,...
In this paper we plan to explore the notion of cognitive chance taking advantage of an analysis of the concept of interface. The notion of interface, especially studied in the field of human-computer interaction (HCI), can be of help in shedding light on how to design cognitive artifacts able to shape and extend pre-existing cognitive capabilities - and even able to unearth new ones. The cognitive...
As development on a software project progresses, developers shift their focus between different topics and tasks many times. Managers and newcomer developers often seek ways of understanding what tasks have recently been worked on and how much effort has gone into each; for example, a manager might wonder what unexpected tasks occupied their team's attention during a period when they were supposed...
Many of the problems that occur in long-running systems involve the way that the system uses memory. We have developed a framework for extracting and building a model of the heap from a running Java system. Such a model is only useful if the programmer can extract from it the information they need to understand, find, and eventually fix memory-related problems in their system. We propose to demonstrate...
Joining an Open Source project is not easy. Newcomers often experience a steep learning curve dealing with technical complexity, lack of domain knowledge, and the amount of project information available for starters. This paper looks at the information needs of newcomers and the potential benefits of information visualization in supporting newcomers through a controlled experiment. Our results show...
Many of the problems that occur in long-running systems involve the way that the system uses memory. We have developed a framework for extracting and building a model of the heap from a running Java system. Such a model is only useful if the programmer can extract from it the information they need to understand, find, and eventually fix memory-related problems in their system. This paper describes...
Effective and efficient navigation and representation of the entire structure of the product catalog is one of the important factors for on-line market. This paper proposes an application using Treemaps visualization to enhance the functionality of online product category. We aim to develop high-quality catalog interfaces in terms of readability, understandability and comprehension by integrating...
Social interaction history refers to traces of social interaction in information spaces. These traces have potential to help users explore and navigate through information spaces. In digital spaces, however, past records of social interaction are often hidden or underutilized. As a result, users cannot use social navigation to guide their movement while browsing information collections. We developed...
Discussion on patient data, among hospital staff, plays an increasingly important role in inter-specialist communication. Effectiveness of a discussion depends, among other factors, on how well its participants perceive, assimilate and interpret information exchanged during a discussion. This paper reports a field study conducted to assess information assimilation among medical observer participants...
Radiological images constitute a special class of images that are captured (or computed) for a specific purpose (i.e. diagnosis) and their ldquocorrectrdquo interpretation is vitally important. However, because they are not ldquonaturalrdquo images, radiologists must be trained to visually interpret them. This training involves perceptual learning that is gradually acquired over an extended period...
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