Many applications involve map visualization. Nevertheless, almost all of them display the map in the same style, which often cause information overloading. In this paper, we present a novel user-centered 2.5D focus co...
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Many applications involve map visualization. Nevertheless, almost all of them display the map in the same style, which often cause information overloading. In this paper, we present a novel user-centered 2.5D focus context map visualization technique. Instead of treating all the information equally, we can custom the map according to user requirements. The main contributions of our technique are in three aspects. Firstly, our system can automatically construct a hierarchical representation of the city according to the focus point of the users by using the R-trees data structure, then presenting users the map in multiple rendering styles, highlighting the user concerned information and deemphasizing the less important information. Secondly, a landmark margin is automatically added to the original map according to the points-of-interest(POI), which illustrates the context information and enables users to maintain a macro view of the city. Moreover, by applying the 2.5D technique, we can reduce the amount of data and accelerate the transport of the information. The results show that our user-centered map visualization technique can greatly improve the efficiency for users to get their concerned information.
Modern businesses like Amazon, Facebook, Google, eBay and many others have gained immense popularity, as they have been able to provide pertinent information based on user interactions with content. The prime mover fo...
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Modern businesses like Amazon, Facebook, Google, eBay and many others have gained immense popularity, as they have been able to provide pertinent information based on user interactions with content. The prime mover for their success is the active usage of collective intelligence. The need for collective intelligence has increased with the stepping in of web 2.0. Applying it to improve user interactions and personalization has become mandatory for modern information systems including Enterprise Systems. In this paper, we have discussed the different techniques for deriving and applying collective intelligence by means of algorithms and visualization tools. Rather than inventing new algorithms or tools, we have focused on combining existing algorithms with visualization techniques to derive intelligence. Backed up by case studies we have come up with a methodology for making web applications smart by using collective intelligence. We close this paper with a note on the current work that is in progress involving application of collective intelligence in cloud management, mashups, non-relational database and reputation management.
This paper describes a new approach called concentric planar slider to visually build queries and to pilot a data view. The purpose of this approach is to go beyond the binary satisfaction of the query criteria(satisf...
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This paper describes a new approach called concentric planar slider to visually build queries and to pilot a data view. The purpose of this approach is to go beyond the binary satisfaction of the query criteria(satisfied vs. not satisfied). This UI control helps the user to know to what extent the dataset elements satisfy them. Two interactive sliders are combined in a planar setting. This plane is split into concentric zones that are associated to decreasing degrees of satisfaction of the query criteria. Various (potentially asymmetric) rules can be defined to express the non-satisfaction of a given criterion. These theoretical concepts have been implemented in a prototype whose main features are also described.
The extensive growth of peer-to-peer video applications (P2PTV) indicates the evolutionary path towards the next generation of networking. To enhance the quality of experience for P2PTV users, new P2P video traffic mo...
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The extensive growth of peer-to-peer video applications (P2PTV) indicates the evolutionary path towards the next generation of networking. To enhance the quality of experience for P2PTV users, new P2P video traffic models are required. These models are often developed by measurement-driven performance modeling based upon statistical analysis. However, this type of analysis can be a challenging task, due to the complexity and especially, with large sample sizes, the sheer quantity of the data. For this reason, preliminary data examination by graphical means and appropriate visualization techniques can be of great value. In this paper, the versatile network traffic analyzer Atheris will be introduced. It is an essential part of a comprehensive traffic measurement and analysis concept to cope with the rapid deployment of P2PTV applications and their overlay structures. Atheris has been designed specially for measuring P2P applications and for visualizing their inherent properties. As a part of its functionality, Atheris performs traffic measurements at the packet layer, data extraction, flow analysis and enables the visual inspection of statistical characteristics. Furthermore, an evaluation of overlay structures by bandwidth estimation techniques and an overview of the statistical P2P traffic features are provided.
Color mapping plays a critical role in visualization of time-varying data and also sets a challenge for researchers due to the consistency of mapping and great changes in time-varying data. In order to solve this prob...
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Color mapping plays a critical role in visualization of time-varying data and also sets a challenge for researchers due to the consistency of mapping and great changes in time-varying data. In order to solve this problem and generate feature-prominent animation, we present a two phase optimization technique using bilateral filtering and global energy functions. In the first phase, for each time step, we use a weighted mapping function which combines linear mapping and feature histogram. In the second phase, an optimization function taking global color mapping and minimum color difference into consideration is designed. So users can clearly distinguish between data in variable time steps and easily understand the corresponding relationships between different structures. The experiments' results show that our method can achieve high quality visualization for both static and time-varying data.
Usually, ontologies are represented as static 2D graphs, being the relationships exhibited as overlapping edges, which may cause a cognitive overload. On the other hand, 3D representations can also lead to confusion i...
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Usually, ontologies are represented as static 2D graphs, being the relationships exhibited as overlapping edges, which may cause a cognitive overload. On the other hand, 3D representations can also lead to confusion in terms of navigation due to occlusion. Moreover, as the ontologies grow, incorporating new concepts (and their relationships), the visualization complexity increases either in 2D or in 3D. In this paper, we discuss a visualization tool for exploring relationships between ontology concepts. We employ linked tree structures that capture the hierarchical feature of parts of the ontology while preserving the different categories of relationships between concepts. Ontologies are displayed as trees on a plane, representing only the hierarchical relationships between concepts, allowing the user to explore other connections by creating projections of nodes (concepts) in another plane and linking them according to the relationships to be analyzed.
Traditional software in Formal Concept analysis makes little use of visualization techniques, producing poorly readable concept lattice representations when the number of concepts exceeds a few dozens. This is problem...
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Traditional software in Formal Concept analysis makes little use of visualization techniques, producing poorly readable concept lattice representations when the number of concepts exceeds a few dozens. This is problematic as the number of concepts in such lattices grows significantly with the size of the data and the number of its dimensions. In this work we propose several methods to enhance the readability of concept lattices firstly though colouring and distortion techniques, and secondly by extracting and visualizing trees derived from concept lattice structures. These contributions represent an important step in the visual analysis of conceptual structures, as domain experts may visually explore larger datasets that traditional visualizations of concept lattice cannot represent effectively.
MobileAnalymator (Mobile analysis Animator) is a visual analytic system designed to analyze geospatial-temporal data on mobile devices. The system is an Internet based application that allows analysts to work in flexi...
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MobileAnalymator (Mobile analysis Animator) is a visual analytic system designed to analyze geospatial-temporal data on mobile devices. The system is an Internet based application that allows analysts to work in flexile enviornments at anytime. Its client side is developed by Adobe Flash to animate and interact with data. The server side uses Java and MySQL to query, compute, and serve data. The analyst can run the analytical task from a tablet (or computer) with Internet connection. MobileAnalymator adopted spatial and temporal autocorrelations in the interface design and integrated tangible interaction in the navigation to support analysis process.
The immense increase of scientific databases, combined with the spread of open standards for service interfaces, has resulted in unprecedented opportunities of data exploration and exploitation for scientists. From a ...
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The immense increase of scientific databases, combined with the spread of open standards for service interfaces, has resulted in unprecedented opportunities of data exploration and exploitation for scientists. From a client point of view, scientists often perform data combination and analysis, based on interactive incremental refinement and visualization. While this abstract description applies to virtually any science, the concrete presentation of data and queries offered varies greatly across the individual domains. The result is a repetitive effort in crafting streamlined client interfaces, which is particular tedious in face of interactive graphics. We address this problem by establishing a modular Web client toolkit offering common analysis input and output widgets. The backend generates database queries from the input and displays query results through the output widgets. We present this toolkit, its first implementation version, and an earth science scenario using an Array database System as retrieval backend.
The increasing availability of mobility data and the awareness of its importance and value have been motivating many researchers to the development of models and tools for analyzing movement data. This paper presents ...
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The increasing availability of mobility data and the awareness of its importance and value have been motivating many researchers to the development of models and tools for analyzing movement data. This paper presents a brief survey of significant research works about modeling, processing and visualization of data about moving objects. We identified some key research fields that will provide better features for online analysis of movement data. As result of the literature review, we suggest a generic multi-layer architecture for the development of an online analysis processing software tool, which will be used for the definition of the future work of our team.
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