http://www.bibsonomy.org/burst/user/renew/visualizationBibSonomy BuRST Feed for /user/renew/visualization2008-05-14T10:01:57+02:00http://www.bibsonomy.org/bibtex/2f81bc9315be5c3fb426ee22b2508c4d6/renewrenew2008-04-21T12:58:08+02:00evolution tdt topic visualization <span style="color:#555555;">Ata <a href="http://www.bibsonomy.org/author/Kaban">Kaban</a> und Mark <a href="http://www.bibsonomy.org/author/Girolami">Girolami</a> </span><em>Journal of Intelligent Information Systems</em><em>18(2/3):107--125</em>(<em>2002</em>)Journal of Intelligent Information Systems2/3107--125A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams182002evolutiontdttopicvisualizationWe propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information. This can be seen as a complementary tool for topic detection and tracking applications. This is achieved by the exploitation of the a priori domain knowledge available, that there are relatively homogeneous temporal segments in the data stream. In a different manner from topographical techniques previously utilized for static text collections, the topography is an outcome of the coherence in time of the data stream in the proposed model. Simulation results on both toy-data settings and an actual application on Internet chat line discussion analysis is presented by way of demonstration.Enriching Protein Structure Visualizations with Mutation Annotations Obtained by Text Mining Protein Engineering Literature | rene-witte.nethttp://www.bibsonomy.org/bibtex/290d2de711cd825f63f6dd2b9aec4f7a5/renewrenew2008-02-26T13:20:46+01:00mining protein text visualization <span style="color:#555555;">Christopher J.O. <a href="http://www.bibsonomy.org/author/Baker">Baker</a> und Ren'e <a href="http://www.bibsonomy.org/author/Witte">Witte</a> </span><em>The 3rd Canadian Working Conference on Computational Biology (CCCB'04), </em><em>Markham, Ontario, Canada, </em><em>October 42004. </em><em>Co-located with IBM CASCON. . </em>Markham, Ontario, CanadaThe 3rd Canadian Working Conference on Computational Biology (CCCB&#039;04)October 4Co-located with IBM CASCON.{Enriching Protein Structure Visualizations with Mutation Annotations Obtained by Text Mining Protein Engineering Literature}2004miningproteintextvisualization