PUBLIC MARKS from solveig_vidal with tag importé

3D Data Visualisation And Analysis Executive Summary * Main Features * Sample Video/Screen Shots * Technical Detail Requirements The client analyses large volumes of statistical data using a number of different tools. Searching for trends and anomalies is extremely difficult due to limited ability to visualize the data. Dot Net Solutions suggested creating a single application that would improve upon their existing tools, as well as adding significant visualisation functionality. This would make it far easier for them to make sense of large complex data sets.

The Geoserver project acts as a thin, portable, OpenGIS-compliant web services layer on top of existing data sources.

The MayaVi Data Visualizer MayaVi is a free, easy to use scientific data visualizer. It is written in Python and uses the amazing Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. MayaVi is free and distributed under the conditions of the BSD license. It is also cross platform and should run on any platform where both Python and VTK are available (which is almost any *nix, Mac OSX or Windows).

Towards understanding the complex interplay of software tools, human behaviour and social structures in order to enhance the development and use of software tools. Welcome to the Computer-Human Interaction and Software Engineering lab (CHISEL). We are interdisciplinary researchers with diverse backgrounds based in the Department of Computer Science at the University of Victoria. Among our research interests: * cognitive support and technology diffusion * human-computer interaction * human and social implications of technology use (social informatics) * interface design * knowledge engineering * software engineering * technology and pedagogy * visualization Our primary objectives are to develop tools that support people in performing complex cognitive tasks. Our projects benefit from the collaborative approach taken within our group and with other researchers. As a group we operate by using collaboration, creative thinking, exploiting our synergies, and applying innovative research techniques.

The Visualization ToolKit (VTK) is an open source, freely available software system for 3D computer graphics, image processing, and visualization used by thousands of researchers and developers around the world.

JGraph is the most powerful, easy-to-use, feature-rich and standards-compliant open source graph component available for Java.

YALE - Yet Another Learning Environment? YALE is an environment for machine learning experiments and data mining. Experiments can be made up of a large number of arbitrarily nestable operators and their setup is described by XML files which can easily be created with a graphical user interface. Applications of YALE cover both research and real-world data mining tasks.

A Structured 2D Graphics Framework Welcome to Piccolo! A revolutionary way to create robust, full-featured graphical applications in Java and C#, with striking visual effects such as zooming, animation and multiple representations.

JUNG — the Java Universal Network/Graph Framework--is a software library that provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. It is written in Java, which allows JUNG-based applications to make use of the extensive built-in capabilities of the Java API, as well as those of other existing third-party Java libraries.

Graph Visualization Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. Automatic graph drawing has many important applications in software engineering, database and web design, networking, and in visual interfaces for many other domains.

Burst Detection The Burst Detection algorithm has been developed and provided by Jon Kleinberg (Cornell University). The algorithm aims to analyze documents to find features that have high intensity over finite/limited durations of time periods. Rather than using plain frequencies of the occurrences of words, the algorithm employs a probabilistic automaton whose states correspond to the frequencies of individual words. State transitions correspond to points in time around which the frequency of the word changes significantly.

Une cartographie du DMOZ.

Voici les premiers screenshots de notre application MozMapEditor. On se contentera actuellement de présenter deux captures d'écran . Le projet ne tardera pas à être présenté sur Mozdev. Je travaille sur ce projet avec René-Luc D'Hont, ingénieur SIG (grossièrement, ce qui se rapporte à la cartographie). Ce projet est complètement developpé sous la plateforme Mozilla. Il exploite largement le langage SVG , un langage XML décrivant des graphiques vectoriels.

tous les projets informatiques opensource (sourceforge) dédiés à la visualisation. ----------------------------------------- all opensource informatic projects from SourceForge dedicated to vizualisation

The term "mapping knowledge domains" was chosen to describe a newly evolving interdisciplinary area of science aimed at the process of charting, mining, analyzing, sorting, enabling navigation of, and displaying knowledge. This field is aimed at easing information access, making evident the structure of knowledge, and allowing seekers of knowledge to succeed in their endeavors. Although thousands of years old, this area has undergone a sea change in the last 15 years, a change fostered by an explosion of the amount of information available, the accessibility of that information due to electronic storage, and the new techniques of analysis, retrieval, and visualization that are made possible by vast increases in computational storage capacity and processing speed and power. Many of us are so involved in the new ways of accessing knowledge that we have forgotten how recent is the change to computerized knowledge retrieval with search engines operating on the World Wide Web. Remarkable as these changes are to date, they are only a hint of the transformation to come. The Arthur M. Sackler Colloquium on Mapping Knowledge Domains, held at the Arnold and Mabel Beckman Center of the National Academies of Sciences and Engineering in Irvine, CA, May 9-11, 2003, was designed to showcase the ongoing developments in this transformation and provide pointers toward the directions it will move.