https://infovis-wiki.net/w/api.php?action=feedcontributions&feedformat=atom&user=Mansmann 2026-05-31T17:58:22Z User contributions MediaWiki 1.45.3 https://infovis-wiki.net/w/index.php?title=2010-08-19:_Job:_PhD_Position_in_Visual_Analytics_for_Network_Security&diff=24585 2010-08-19T11:40:53Z

<p>Mansmann: New page: The University of Konstanz has a job opening in the group for data analysis and visualization of Prof. Dr. Daniel A. Keim at the faculty of computer and information science. We are searchi...</p> <hr /> <div>The University of Konstanz has a job opening in the group for data analysis and visualization of Prof. Dr. Daniel A. Keim at the faculty of computer and information science. We are searching for an academic employee (TV-L 13) for the EU project „VIS-SENSE: Visual Analytic Representation of Large Datasets for Enhancing Network Security“. <br /> <br /> http://www.uni-konstanz.de/suche/index.php?cont=stellausw&amp;seite=2010/118<br /> <br /> Applications are to be sent by e-mail or post to Dr. Florian Mansmann, Faculty of Computer and Information Science, Box 78, Universität Konstanz, 78457 Konstanz, Germany until August 31, 2010.<br /> <br /> http://infovis.uni-konstanz.de/~mansmann</div>

Mansmann https://infovis-wiki.net/w/index.php?title=Mansmann,_Florian&diff=22567 2009-11-04T15:55:44Z

<p>Mansmann: </p> <hr /> <div>[[Image:Mansmann.jpg]]<br /> <br /> '''Florian Mansmann''' is Post-Doc in the [http://infovis.uni-konstanz.de/ Data Analysis and Visualization Group] at the [http://www.uni-konstanz.de University of Konstanz].<br /> <br /> [http://infovis.uni-konstanz.de/ Computer Science Institute]&lt;br&gt;<br /> [http://www.uni-konstanz.de/ Uni Konstanz] Fach 78&lt;br&gt;<br /> Universitätsstr. 10&lt;br&gt;<br /> D-78457 Konstanz, Germany&lt;br&gt;<br /> <br /> phone: +49 7531 88-3070&lt;br&gt;<br /> fax: +49 7531 88-3062<br /> <br /> email: Florian.Mansmann (at) uni-konstanz.de&lt;br&gt;<br /> web: [http://infovis.uni-konstanz.de/~mansmann http://infovis.uni-konstanz.de/~mansmann]<br /> <br /> == Research ==<br /> His main areas of research include<br /> * Information visualization of large databases<br /> * Visual Analytics<br /> * Data Mining<br /> * Network monitoring and security<br /> <br /> == Projects ==<br /> * [[VisMaster]] - Visual Analytics: Mastering the Information Age<br /> <br /> == Publications ==<br /> A list of publications can be found at [http://infovis.uni-konstanz.de/index.php?region=publications&amp;name=mansmann here].<br /> <br /> [[Category:Persons]]</div>

Mansmann https://infovis-wiki.net/w/index.php?title=VisMaster&diff=22566 2009-11-04T15:54:42Z

<p>Mansmann: </p> <hr /> <div>[http://www.vismaster.eu VisMaster] is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts easily get lost in irrelevant, or inappropriately processed or presented information, a problem which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user.<br /> <br /> VisMaster's aim is to push the limits of today's Visual Analytics. To achieve this goal, the Coordination Action joins European academic and industrial R&amp;D excellence from several individual disciplines, forming a strong Visual Analytics research community. The project is divided into an array of thematic working groups that focus on advancing the state of the art in Visual Analytics. Specifically, the working groups will join excellence in the fields of data management, data analysis, spatial-temporal data, and human visual perception research with the wider visualisation research community.<br /> <br /> The VisMaster Project main goals are to<br /> * form and shape a strong European Visual Analytics community<br /> * define the European Visual Analytics Research Roadmap<br /> * expose public and private stakeholders to Visual Analytics technology<br /> * set the stage for larger follow-up Visual Analytics research initiatives in Europe.<br /> <br /> The project VisMaster CA acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framwork Programme (FP7) for research of the European Commission (EC) under FET-Open grant number 225429.<br /> <br /> == Project Coordination ==<br /> <br /> * [http://www.informatik.uni-konstanz.de/arbeitsgruppen/infovis/mitglieder/prof-dr-daniel-keim/ Prof. Dr. Daniel Keim]<br /> * [http://www.igd.fhg.de/igd-a3/staff.phtml?id=36&amp;lang=ENGLISH Dr. Jörn Kohlhammer]<br /> <br /> <br /> [[Category:Projects]]</div>

Mansmann https://infovis-wiki.net/w/index.php?title=VisMaster&diff=22565 2009-11-04T15:52:17Z

<p>Mansmann: </p> <hr /> <div>[http://www.vismaster.eu VisMaster] is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts easily get lost in irrelevant, or inappropriately processed or presented information, a problem which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user.<br /> <br /> VisMaster's aim is to push the limits of today's Visual Analytics. To achieve this goal, the Coordination Action joins European academic and industrial R&amp;D excellence from several individual disciplines, forming a strong Visual Analytics research community. The project is divided into an array of thematic working groups that focus on advancing the state of the art in Visual Analytics. Specifically, the working groups will join excellence in the fields of data management, data analysis, spatial-temporal data, and human visual perception research with the wider visualisation research community.<br /> <br /> The VisMaster Project main goals are to<br /> * form and shape a strong European Visual Analytics community<br /> * define the European Visual Analytics Research Roadmap<br /> * expose public and private stakeholders to Visual Analytics technology<br /> * set the stage for larger follow-up Visual Analytics research initiatives in Europe.<br /> <br /> The project VisMaster CA acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framwork Programme (FP7) for research of the European Commission (EC) under FET-Open grant number 225429.<br /> <br /> <br /> [[Category:Projects]]</div>

Mansmann https://infovis-wiki.net/w/index.php?title=VisMaster&diff=22564 2009-11-04T15:49:53Z

<p>Mansmann: </p> <hr /> <div>[http://www.vismaster.eu VisMaster] is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts easily get lost in irrelevant, or inappropriately processed or presented information, a problem which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user.<br /> <br /> VisMaster's aim is to push the limits of today's Visual Analytics. To achieve this goal, the Coordination Action joins European academic and industrial R&amp;D excellence from several individual disciplines, forming a strong Visual Analytics research community. The project is divided into an array of thematic working groups that focus on advancing the state of the art in Visual Analytics. Specifically, the working groups will join excellence in the fields of data management, data analysis, spatial-temporal data, and human visual perception research with the wider visualisation research community.<br /> <br /> The VisMaster Project main goals are to<br /> * form and shape a strong European Visual Analytics community<br /> * define the European Visual Analytics Research Roadmap<br /> * expose public and private stakeholders to Visual Analytics technology<br /> * set the stage for larger follow-up Visual Analytics research initiatives in Europe.<br /> <br /> The project VisMaster CA acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framwork Programme (FP7) for research of the European Commission (EC) under FET-Open grant number 225429.</div>

Mansmann https://infovis-wiki.net/w/index.php?title=VisMaster&diff=22563 2009-11-04T15:48:56Z

<p>Mansmann: </p> <hr /> <div>VisMaster is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts easily get lost in irrelevant, or inappropriately processed or presented information, a problem which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user.<br /> <br /> VisMaster's aim is to push the limits of today's Visual Analytics. To achieve this goal, the Coordination Action joins European academic and industrial R&amp;D excellence from several individual disciplines, forming a strong Visual Analytics research community. The project is divided into an array of thematic working groups that focus on advancing the state of the art in Visual Analytics. Specifically, the working groups will join excellence in the fields of data management, data analysis, spatial-temporal data, and human visual perception research with the wider visualisation research community.<br /> <br /> The VisMaster Project main goals are to<br /> * form and shape a strong European Visual Analytics community<br /> * define the European Visual Analytics Research Roadmap<br /> * expose public and private stakeholders to Visual Analytics technology<br /> * set the stage for larger follow-up Visual Analytics research initiatives in Europe.<br /> <br /> The project VisMaster CA acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framwork Programme (FP7) for research of the European Commission (EC) under FET-Open grant number 225429.</div>

Mansmann https://infovis-wiki.net/w/index.php?title=VisMaster&diff=22562 2009-11-04T15:48:27Z

<p>Mansmann: New page: = EU VisMaster Project - Visual Analytics: Mastering the Information Age = VisMaster is a European Coordination Action Project focused on the research discipline of Visual Analytics: One ...</p> <hr /> <div>= EU VisMaster Project - Visual Analytics: Mastering the Information Age =<br /> <br /> VisMaster is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts easily get lost in irrelevant, or inappropriately processed or presented information, a problem which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user.<br /> <br /> VisMaster's aim is to push the limits of today's Visual Analytics. To achieve this goal, the Coordination Action joins European academic and industrial R&amp;D excellence from several individual disciplines, forming a strong Visual Analytics research community. The project is divided into an array of thematic working groups that focus on advancing the state of the art in Visual Analytics. Specifically, the working groups will join excellence in the fields of data management, data analysis, spatial-temporal data, and human visual perception research with the wider visualisation research community.<br /> <br /> The VisMaster Project main goals are to<br /> * form and shape a strong European Visual Analytics community<br /> * define the European Visual Analytics Research Roadmap<br /> * expose public and private stakeholders to Visual Analytics technology<br /> * set the stage for larger follow-up Visual Analytics research initiatives in Europe.<br /> <br /> The project VisMaster CA acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framwork Programme (FP7) for research of the European Commission (EC) under FET-Open grant number 225429.</div>

Mansmann https://infovis-wiki.net/w/index.php?title=Mansmann,_Florian&diff=22560 2009-11-04T15:45:14Z

<p>Mansmann: </p> <hr /> <div>[[Image:Mansmann.jpg]]<br /> <br /> '''Florian Mansmann''' is Post-Doc in the [http://infovis.uni-konstanz.de/ Data Analysis and Visualization Group] at the [http://www.uni-konstanz.de University of Konstanz].<br /> <br /> [http://infovis.uni-konstanz.de/ Computer Science Institute]&lt;br&gt;<br /> [http://www.uni-konstanz.de/ Uni Konstanz] Fach 78&lt;br&gt;<br /> Universitätsstr. 10&lt;br&gt;<br /> D-78457 Konstanz, Germany&lt;br&gt;<br /> <br /> phone: +49 7531 88-3070&lt;br&gt;<br /> fax: +49 7531 88-3062<br /> <br /> email: Florian.Mansmann (at) uni-konstanz.de&lt;br&gt;<br /> web: [http://infovis.uni-konstanz.de/~mansmann http://infovis.uni-konstanz.de/~mansmann]<br /> <br /> == Research ==<br /> His main areas of research include<br /> * Information visualization of large databases<br /> * Visual Analytics<br /> * Data Mining<br /> * Network monitoring and security<br /> <br /> == Projects ==<br /> * VisMaster - Visual Analytics: Mastering the Information Age<br /> <br /> == Publications ==<br /> A list of publications can be found at [http://infovis.uni-konstanz.de/index.php?region=publications&amp;name=mansmann here].<br /> <br /> [[Category:Persons]]</div>

Mansmann https://infovis-wiki.net/w/index.php?title=Mansmann,_Florian&diff=22557 2009-11-04T15:42:40Z

<p>Mansmann: </p> <hr /> <div>[[Image:Mansmann.jpg]]<br /> <br /> '''Florian Mansmann''' is Post-Doc in the [http://infovis.uni-konstanz.de/ Data Analysis and Visualization Group] at the [http://www.uni-konstanz.de University of Konstanz].<br /> <br /> [http://infovis.uni-konstanz.de/ Computer Science Institute]&lt;br&gt;<br /> [http://www.uni-konstanz.de/ Uni Konstanz] Fach 78&lt;br&gt;<br /> Universitätsstr. 10&lt;br&gt;<br /> D-78457 Konstanz, Germany&lt;br&gt;<br /> <br /> phone: +49 7531 88-3070&lt;br&gt;<br /> fax: +49 7531 88-3062<br /> <br /> email: Florian.Mansmann (at) uni-konstanz.de&lt;br&gt;<br /> web: [http://infovis.uni-konstanz.de/~mansmann http://infovis.uni-konstanz.de/~mansmann]<br /> <br /> == Research ==<br /> His main areas of research include<br /> * Information visualization of large databases<br /> * Visual Analytics<br /> * Data Mining<br /> * Network monitoring and security<br /> <br /> == Publications ==<br /> A list of publications can be found at [http://infovis.uni-konstanz.de/index.php?region=publications&amp;name=mansmann here].<br /> <br /> [[Category:Persons]]</div>

Mansmann https://infovis-wiki.net/w/index.php?title=Mansmann,_Florian&diff=22554 2009-11-04T15:37:20Z

<p>Mansmann: </p> <hr /> <div>[[Image:Mansmann.jpg]]<br /> <br /> '''Florian Mansmann''' is Post-Doc in the [http://infovis.uni-konstanz.de/ Data Analysis and Visualization Group] at the [http://www.uni-konstanz.de University of Konstanz].<br /> <br /> [http://infovis.uni-konstanz.de/ Computer Science Institute]&lt;br&gt;<br /> [http://www.uni-konstanz.de/ Uni Konstanz] Fach 78&lt;br&gt;<br /> Universitätsstr. 10&lt;br&gt;<br /> D-78457 Konstanz, Germany&lt;br&gt;<br /> <br /> phone: +49 7531 88-3070&lt;br&gt;<br /> fax: +49 7531 88-3062<br /> <br /> email: Florian.Mansmann (at) uni-konstanz.de&lt;br&gt;<br /> web: [http://infovis.uni-konstanz.de/~mansmann http://infovis.uni-konstanz.de/~mansmann]<br /> <br /> == Research ==<br /> His main areas of research include<br /> - Information visualization of large databases<br /> - Visual Analytics<br /> - Data Mining<br /> - Network monitoring and security<br /> <br /> == Publications ==<br /> A list of publications can be found at [http://infovis.uni-konstanz.de/index.php?region=publications&amp;name=mansmann here].<br /> <br /> [[Category:Persons]]</div>

Mansmann