BibSonomy publications for /tag/visualisationWed Feb 08 14:49:16 CET 2012ISPRS Journal of Photogrammetry and Remote Sensing<ce:title>Quality, Scale and Analysis Aspects of Urban City Models</ce:title>2198 - 20857 - A multiple representation data structure for dynamic visualisation of generalised 3D city models662011generalization maarb visualisation In this paper, a novel multiple representation data structure for dynamic visualisation of 3D city models, called CityTree, is proposed. To create a CityTree, the ground plans of the buildings are generated and simplified. Then, the buildings are divided into clusters by the road network and one CityTree is created for each cluster. The leaf nodes of the CityTree represent the original 3D objects of each building, and the intermediate nodes represent groups of close buildings. By utilising CityTree, it is possible to have dynamic zoom functionality in real time. The CityTree methodology is implemented in a framework where the original city model is stored in CityGML and the CityTree is stored as X3D scenes. A case study confirms the applicability of the CityTree for dynamic visualisation of 3D city models.Mon Jan 16 13:25:40 CET 2012Advances in neural information processing systems833--840Stochastic Neighbor Embedding152003dimensionality-reduction embedding machine-learning visualisation Wed Jan 11 15:40:31 CET 2012Hershey, PAHandbook of Visual Languages for Instructional Design: Theories and Practices2007asld-book asld-intro design education languages learning visual visualisation The more complex instructional design (ID) projects grow, the more a design language can support the success of the projects, and the continuing process of integration of technologies in education makes this issue even more relevant. The Handbook of Visual Languages for Instructional Design: Theories & Practices serves as a practical guide for the integration of ID languages and notation systems into the practice of ID by presenting recent languages and notation systems for ID; exploring the connection between the use of ID languages and the integration of technologies in education, and assessing the benefits and drawbacks of the use of ID languages in specific project settings.Tue Jan 03 15:12:44 CET 2012Sebastopol, Canada1.Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites20112011 KDD KDE Twitter analysis book datamining dataset development socialmedia visualisation web Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. * Get a straightforward synopsis of the social web landscape * Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn * Learn how to employ easy-to-use Python tools to slice and dice the data you collect * Explore social connections in microformats with the XHTML Friends Network * Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection * Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, GoogleThu Oct 27 10:44:02 CEST 2011Proc. 27th Int'l Conf. on Software Maintenance594--597Maleku: an evolutionary visual software analytics tool for providing insights into software evolution2011myown tool visualisation Software maintenance is a complex process that requires the understanding and comprehension of software project details. It involves the understanding of the evolution of the software project, hundreds of software components and the relationships among software items in the form of inheritance, interface implementation, coupling and cohesion. Consequently, the aim of evolutionary visual software analytics is to support software project managers and developers during software maintenance. It takes into account the mining of evolutionary data, the subsequent analysis of the results produced by the mining process for producing evolution facts, the use of visualizations supported by interaction techniques and the active participation of users. Hence, this paper proposes an evolutionary visual software analytics tool for the exploration and comparison of project structural, interface implementation and class hierarchy data, and the correlation of structural data with metrics, as well as socio-technical relationships. Its main contribution is a tool that automatically retrieves evolutionary software facts and represent them using a scalable visualization design.Wed Jul 27 11:58:40 CEST 2011Washington, {DC}, {USA}{IV} '09: Proceedings of the 2009 13th International Conference Information Visualisation191–196Exploring Asynchronous Online Discussions through Hierarchical Visualisation2009slashdot, visualisation Thu Dec 16 10:57:02 CET 201051Plattformunabhängige Visualisierung von Neutronenspektren auf der Basis von OpenGLdiplomathesis20053d neutron opengl spectrum visualisation Tue Oct 05 14:15:05 CEST 2010Mobile HCI359-362ACM International Conference Proceeding SeriesExploring music collections on mobile devices.2008collection dimension mobile reduction visualisation Thu Jun 10 06:00:53 CEST 2010On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE94--111Resource-Centric Worklist Visualisation2005Centric DBIS Resource SS2010 Seminar Visualisation Worklist Business process management, and in particular workflow management, are a major area of ICT research. At present no coherent approach has been developed to address the problem of workflow visualisation to aid workers in the process of task prioritisation. In this paper we describe the development of a new, coherent approach to worklist visualisation, via analysis and development of a resource-centric view of the worklist information. We then derive appropriate visualisations for worklists and the relevant resources to aid worker in decision making. A worklist visualisation system has been implemented as an extension to an open-source workflow system, YAWL (Yet Another Workflow Language). ER -Fri May 21 11:15:27 CEST 2010\apjjun1170-1190{The Complete Survey of Outflows in Perseus}7152010outflows complete survey perseus visualisation Thu Dec 31 16:13:32 CET 2009December2008/18Depiction of Additional Node-related Elements in Graph-based Software Visualisations2008architectural_views myown recent todo tool visualisation Many of the ways to depict software are based on graphs, although what nodes and edges represent differ from visualisation to visualisation. In this paper we present a light-weight approach to enrich graph-based visualisations so that nodes can represent more information. The idea is to show in each node a rectangle of pixels, each representing a certain element associated to the node, and the colour of each pixel representing up to three attributes of that element. The order of the pixels is user defined and may convey additional information. The approach is generic and allows data obtained through completely different reverse engineering processes to be shown together in a compact way that preserves the meaning of the graph layout. We illustrate our approach by showing how software architecture and defects can be related: a graph depicting the high-level components and their dependencies is enriched with information about the bugs reported for each component.Fri Sep 25 10:36:23 CEST 2009Berlin/HeidelbergLearning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009OctoberLecture Notes in Computer ScienceNetLearn: Social Network Analysis and Visualizations for Learning57942009analysis datamining ectel2009 fullPapers learning network social social-network social_network visualisation visualization web2.0 The most valuable and innovative knowledge is hard to find, and it lies within distributed communities and networks. Locating the right community or person who can provide us with exactly the knowledge that we need and who can help us solve exactly the problems that we come upon, can be an efficient way to learn forward. In this paper, we present the details of NetLearn; a service that acts as a knowledge filter for learning. The primary aim of NetLearn is to leverage social network analysis and visualization techniques to help learners mine communities and locate experts that can populate their personal learning environments.Fri Sep 25 10:36:23 CEST 2009Berlin/HeidelbergLearning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009OctoberLecture Notes in Computer ScienceSocial Network Analysis of 45.000 Schools: A Case Study of Technology Enhanced Learning in Europe57942009ectel2009 fullPapers network_analysis social-network visualisation Social networks make an essential contribution to knowledge sharing in our fast moving and changing world. However, it is difficult to apply new techniques to the complex, firm and Europe-wide differing educational systems, and this process for technology-enhanced learning is still evolving and challenging. This paper presents the research results of applying social network analysis methods to a real and lively social network, which intends to enhance the cooperation and knowledge sharingamong over 45.000 European schools within the eTwinning network. We developed a web-based tool for network analysis and the visualization of various network views and data mining outcomes as proof of concept. This prototype is evaluated on the educational social network eTwinning coordinated by the European Schoolnet, with special regard to its network structure and collaboration activity.Thu Sep 17 15:06:36 CEST 2009Berlin, Heidelberg{KI 2007:} Advances in Artificial IntelligenceKI2007506-509Lecture Notes in Computer ScienceSemantic Graph Visualisation for Mobile Semantic Web Interfaces466720072007 Handheld PDA Visualisation myown Fri Aug 28 13:29:35 CEST 2009INFOVISconf/infovis/2003Mapping Nominal Values to Numbers for Effective Visualization.2003correlation-analysis feature-transformation nominal visualisation Wed Aug 05 12:50:31 CEST 2009Berlin/HeidelbergGraph Drawing Software127--148Mathematics and VisualizationGraphviz and Dynagraph -- Static and Dynamic Graph Drawing Tools2004graph graphviz tool visualisation Graphviz is a heterogeneous collection of graph drawing tools containing batch layout programs (dot, neato, fdp, twopi); a platform for incremental layout (dynagraph); customizable graph editors (dotty, grappa); a server for including graphs in Web pages (webDOT); support for graphs as COM objects (montage); utility programs useful in graph visualization; and libraries for attributed graphs. The software is available under an Open Source license. Wed Aug 05 12:39:24 CEST 2009New York, NY, USA27Structural Analysis in the Social SciencesExploratory Social Network Analysis with Pajek2005graph pajek tool visualisation sna analysis network social Tue Apr 07 15:17:26 CEST 2009System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference onJan.1-10Mycrocosm: Visual Microblogging2009microblogging visualisation This paper introduces Mycrocosm, a micro-blogging site in which users communicate via statistical graphics, rather than the usual short text statements. Users of Mycrocosm can record everyday "personal statistics" and share this information in the form of simple graphs and charts. People have used it to track how they got to work and how long it took, what color clothes they wore, how often they checked their Facebook updates, how often a colleague shows up late, and many other trends and events. Mycrocosm raises awareness of the strong yet subtle effect a medium has upon the messages it conveys. Most computer based communication interfaces are text based, so while the conduit is computational, the medium is not far different from a typewriter. Mycrocosm, by using easily updated statistical graphs, creates an easy to use and understand medium that nevertheless is quite different from other forms of communication, both direct and computer mediated.Mon Mar 02 13:16:24 CET 2009Information Fusion, 2008 11th International Conference on30 2008-July 31-8Improving maritime anomaly detection and situation awareness through interactive visualization2008anomaly awareness data detection graphical interactive interfaces marine maritime representations situation surveillance systems user visual visualisation visualization Sat Feb 28 21:01:39 CET 2009Information Visualisation, 2008. IV '08. 12th International ConferenceJuly610-615Edge Metrics for Visual Graph Analytics: A Comparative Study2008data_analytics graph_metrics graphs network_analysis visualisation Visual graph analytics definitely relies on the use of node and edge metrics to identify salient properties in graphs. Most often, these metrics are turned into useful visual cues, or are used to interactively filter out parts of a graph while querying it, for instance. Along the years, analysts coming from different application domains have designed metrics to serve specific needs. Graph analytics, sometimes also called network science, recently developed as a cross-discipline field developing models shared by numerous application domains such as bio-informatics, social network analysis, web graphs, etc.[4] [10]. As a consequence, we end up finding various metrics in the literature aiming at similar goals; different names and analytics description often hide similarity between two metrics that originated from different fields. We survey a list of edge metrics for graphs and compare their relative value and behaviour, in an effort to organize them into a taxonomy and underline the genuine ingredients in each of them disregarding their origin.visualisationCommunity for tag(s) visualisation