16 Search Results for "Keim, Daniel A."


Document
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351)

Authors: Polo Chau, Alex Endert, Daniel A. Keim, and Daniela Oelke

Published in: Dagstuhl Reports, Volume 12, Issue 8 (2023)


Abstract
The use of artificial intelligence continues to impact a broad variety of domains, application areas, and people. However, interpretability, understandability, responsibility, accountability, and fairness of the algorithms' results - all crucial for increasing humans' trust into the systems - are still largely missing. The purpose of this seminar is to understand how these components factor into the holistic view of trust. Further, this seminar seeks to identify design guidelines and best practices for how to build interactive visualization systems to calibrate trust.

Cite as

Polo Chau, Alex Endert, Daniel A. Keim, and Daniela Oelke. Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351). In Dagstuhl Reports, Volume 12, Issue 8, pp. 103-116, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{chau_et_al:DagRep.12.8.103,
  author =	{Chau, Polo and Endert, Alex and Keim, Daniel A. and Oelke, Daniela},
  title =	{{Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351)}},
  pages =	{103--116},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{8},
  editor =	{Chau, Polo and Endert, Alex and Keim, Daniel A. and Oelke, Daniela},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.8.103},
  URN =		{urn:nbn:de:0030-drops-177161},
  doi =		{10.4230/DagRep.12.8.103},
  annote =	{Keywords: accountability, artificial intelligence, explainability, fairness, interactive visualization, machine learning, responsibility, trust, understandability}
}
Document
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382)

Authors: Daniela Oelke, Daniel A. Keim, Polo Chau, and Alex Endert

Published in: Dagstuhl Reports, Volume 10, Issue 4 (2021)


Abstract
Artificial intelligence (AI), and in particular machine learning algorithms, are of increasing importance in many application areas but interpretability and understandability as well as responsibility, accountability, and fairness of the algorithms' results, all crucial for increasing the humans' trust into the systems, are still largely missing. Big industrial players, including Google, Microsoft, and Apple, have become aware of this gap and recently published their own guidelines for the use of AI in order to promote fairness, trust, interpretability, and other goals. Interactive visualization is one of the technologies that may help to increase trust in AI systems. During the seminar, we discussed the requirements for trustworthy AI systems as well as the technological possibilities provided by interactive visualizations to increase human trust in AI.

Cite as

Daniela Oelke, Daniel A. Keim, Polo Chau, and Alex Endert. Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382). In Dagstuhl Reports, Volume 10, Issue 4, pp. 37-42, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@Article{oelke_et_al:DagRep.10.4.37,
  author =	{Oelke, Daniela and Keim, Daniel A. and Chau, Polo and Endert, Alex},
  title =	{{Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382)}},
  pages =	{37--42},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{10},
  number =	{4},
  editor =	{Oelke, Daniela and Keim, Daniel A. and Chau, Polo and Endert, Alex},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.10.4.37},
  URN =		{urn:nbn:de:0030-drops-137360},
  doi =		{10.4230/DagRep.10.4.37},
  annote =	{Keywords: accountability, artificial intelligence, explainability, fairness, interactive visualization, machine learning, responsibility, trust, understandability}
}
Document
Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)

Authors: Daniel A. Keim, Tamara Munzner, Fabrice Rossi, and Michael Verleysen

Published in: Dagstuhl Reports, Volume 5, Issue 3 (2015)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 15101 "Bridging Information Visualization with Machine Learning". This seminar is a successor to Dagstuhl seminar 12081 "Information Visualization, Visual Data Mining and Machine Learning" held in 2012. The main goal of this second seminar was to identify important challenges to overcome in order to build systems that integrate machine learning and information visualization.

Cite as

Daniel A. Keim, Tamara Munzner, Fabrice Rossi, and Michael Verleysen. Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). In Dagstuhl Reports, Volume 5, Issue 3, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)


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@Article{keim_et_al:DagRep.5.3.1,
  author =	{Keim, Daniel A. and Munzner, Tamara and Rossi, Fabrice and Verleysen, Michael},
  title =	{{Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{5},
  number =	{3},
  editor =	{Keim, Daniel A. and Munzner, Tamara and Rossi, Fabrice and Verleysen, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.5.3.1},
  URN =		{urn:nbn:de:0030-drops-52665},
  doi =		{10.4230/DagRep.5.3.1},
  annote =	{Keywords: Information visualization, Machine learning, Visual data mining, Exploratory data analysis}
}
Document
Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081)

Authors: Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, and Stefan Wrobel

Published in: Dagstuhl Reports, Volume 2, Issue 2 (2012)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12081 ``Information Visualization, Visual Data Mining and Machine Learning''. The aim of the seminar was to tighten the links between the information visualisation community and the machine learning community in order to explore how each field can benefit from the other and how to go beyond current hybridization successes.

Cite as

Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, and Stefan Wrobel. Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). In Dagstuhl Reports, Volume 2, Issue 2, pp. 58-83, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@Article{keim_et_al:DagRep.2.2.58,
  author =	{Keim, Daniel A. and Rossi, Fabrice and Seidl, Thomas and Verleysen, Michel and Wrobel, Stefan},
  title =	{{Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081)}},
  pages =	{58--83},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{2},
  number =	{2},
  editor =	{Keim, Daniel A. and Rossi, Fabrice and Seidl, Thomas and Verleysen, Michel and Wrobel, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.2.2.58},
  URN =		{urn:nbn:de:0030-drops-35064},
  doi =		{10.4230/DagRep.2.2.58},
  annote =	{Keywords: Information visualization, visual data mining, machine learning, nonlinear dimensionality reduction, exploratory data analysis}
}
Document
10471 Abstracts Collection – Scalable Visual Analytics

Authors: Daniel A. Keim and Stefan Wrobel

Published in: Dagstuhl Seminar Proceedings, Volume 10471, Scalable Visual Analytics (2011)


Abstract
From 21.11. to 26.11.2010, the Dagstuhl Seminar 10471 ``Scalable Visual Analytics'' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Daniel A. Keim and Stefan Wrobel. 10471 Abstracts Collection – Scalable Visual Analytics. In Scalable Visual Analytics. Dagstuhl Seminar Proceedings, Volume 10471, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@InProceedings{keim_et_al:DagSemProc.10471.1,
  author =	{Keim, Daniel A. and Wrobel, Stefan},
  title =	{{10471 Abstracts Collection – Scalable Visual Analytics}},
  booktitle =	{Scalable Visual Analytics},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10471},
  editor =	{Daniel A. Keim and Stefan Wrobel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10471.1},
  URN =		{urn:nbn:de:0030-drops-29406},
  doi =		{10.4230/DagSemProc.10471.1},
  annote =	{Keywords: Visual Analytics, Visualization, Data Analysis, Discovery Science, Information Visualization}
}
Document
10471 Executive Summary – Scalable Visual Analytics

Authors: Daniel A. Keim and Stefan Wrobel

Published in: Dagstuhl Seminar Proceedings, Volume 10471, Scalable Visual Analytics (2011)


Abstract
The Scalable Visual Analytics seminar was a fertile meeting in which researchers from diverse backgrounds met. It included industry and academia, senior and junior researchers, multi-national representation, and people coming from several disciplines. The diversity resulted in interesting and useful discussions, which will help to shape the future of the versatile research area of Visual Analytics. The seminar included multiple presentations and discussions which helped to exchange domain knowledge and steer future research activities. Besides, several working groups during the seminar not only identified future research directions in the field of scalable visual analytics but also initiated new joint projects. In total, plans for three position papers, two overview papers to outreach to other communities, and three EU FET Open Projects were drafted. Furthermore, three workshops as satellites of conferences that cover specific application areas were planned to further disseminate the work and provide a platform for ongoing discussions and activities.

Cite as

Daniel A. Keim and Stefan Wrobel. 10471 Executive Summary – Scalable Visual Analytics. In Scalable Visual Analytics. Dagstuhl Seminar Proceedings, Volume 10471, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@InProceedings{keim_et_al:DagSemProc.10471.2,
  author =	{Keim, Daniel A. and Wrobel, Stefan},
  title =	{{10471 Executive Summary – Scalable Visual Analytics}},
  booktitle =	{Scalable Visual Analytics},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10471},
  editor =	{Daniel A. Keim and Stefan Wrobel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10471.2},
  URN =		{urn:nbn:de:0030-drops-29393},
  doi =		{10.4230/DagSemProc.10471.2},
  annote =	{Keywords: Visual Analytics, Visualization, Data Analysis, Discovery Science, Information Visualization}
}
Document
Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics

Authors: Richard Arias-Hernández, L. Kaastra, Tera Marie Green, and Brian D. Fisher

Published in: Dagstuhl Seminar Proceedings, Volume 10471, Scalable Visual Analytics (2011)


Abstract
Studying how humans interact with abstract, visual representations of massive amounts of data provides knowledge about how cognition works in visual analytics. This knowledge provides guidelines for cognitive-aware design and evaluation of visual analytic tools. Different methods have been used to capture and conceptualize these processes including protocol analysis, experiments, cognitive task analysis, and field studies. In this article, we introduce Pair Analytics: a method for capturing reasoning processes in visual analytics. We claim that Pair Analytics offers two advantages with respect to other methods: (1) a more natural way of making explicit and capturing reasoning processes and (2) an approach to capture social and cognitive processes used to conduct collaborative analysis in real-life settings. We support and illustrate these claims with a pilot study of three phenomena in collaborative visual analytics: coordination of attention, cognitive workload, and navigation of analysis.

Cite as

Richard Arias-Hernández, L. Kaastra, Tera Marie Green, and Brian D. Fisher. Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics. In Scalable Visual Analytics. Dagstuhl Seminar Proceedings, Volume 10471, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@InProceedings{ariashernandez_et_al:DagSemProc.10471.3,
  author =	{Arias-Hern\'{a}ndez, Richard and Kaastra, L. and Green, Tera Marie and Fisher, Brian D.},
  title =	{{Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics}},
  booktitle =	{Scalable Visual Analytics},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10471},
  editor =	{Daniel A. Keim and Stefan Wrobel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10471.3},
  URN =		{urn:nbn:de:0030-drops-29382},
  doi =		{10.4230/DagSemProc.10471.3},
  annote =	{Keywords: Pair analytics, qualitative methods}
}
Document
From Visualization to Visually Enabled Reasoning

Authors: Joerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, and Daniel A. Keim

Published in: Dagstuhl Follow-Ups, Volume 1, Scientific Visualization: Advanced Concepts (2010)


Abstract
Interactive Visualization has been used to study scientific phenomena, analyze data, visualize information, and to explore large amounts of multi-variate data. It enables the human mind to gain novel insights by empowering the human visual system, encompassing the brain and the eyes, to discover properties that were previously unknown. While it is believed that the process of creating interactive visualizations is reasonably well understood, the process of stimulating and enabling human reasoning with the aid of interactive visualization tools is still a highly unexplored field. We hypothesize that visualizations make an impact if they successfully influence a thought process or a decision. Interacting with visualizations is part of this process. We present exemplary cases where visualization was successful in enabling human reasoning, and instances where the interaction with data helped in understanding the data and making a better informed decision. We suggest metrics that help in understanding the evolution of a decision making process. Such a metric would measure the efficiency of the reasoning process, rather than the performance of the visualization system or the user. We claim that the methodology of interactive visualization, which has been studied to a great extent, is now sufficiently mature, and we would like to provide some guidance regarding the evaluation of knowledge gain through visually enabled reasoning. It is our ambition to encourage the reader to take on the next step and move from information visualization to visually enabled reasoning.

Cite as

Joerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, and Daniel A. Keim. From Visualization to Visually Enabled Reasoning. In Scientific Visualization: Advanced Concepts. Dagstuhl Follow-Ups, Volume 1, pp. 227-245, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)


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@InCollection{meyer_et_al:DFU.SciViz.2010.227,
  author =	{Meyer, Joerg and Thomas, Jim and Diehl, Stephan and Fisher, Brian and Keim, Daniel A.},
  title =	{{From Visualization to Visually Enabled Reasoning}},
  booktitle =	{Scientific Visualization: Advanced Concepts},
  pages =	{227--245},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-19-4},
  ISSN =	{1868-8977},
  year =	{2010},
  volume =	{1},
  editor =	{Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.SciViz.2010.227},
  URN =		{urn:nbn:de:0030-drops-27078},
  doi =		{10.4230/DFU.SciViz.2010.227},
  annote =	{Keywords: Interactive Visualization, Reasoning}
}
Document
09211 Abstracts Collection – Visualization and Monitoring of Network Traffic

Authors: Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, and Pak Chung Wong

Published in: Dagstuhl Seminar Proceedings, Volume 9211, Visualization and Monitoring of Network Traffic (2009)


Abstract
From 17.05. to 20.05.2009, the Dagstuhl Seminar 09211 ``Visualization and Monitoring of Network Traffic '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, and Pak Chung Wong. 09211 Abstracts Collection – Visualization and Monitoring of Network Traffic. In Visualization and Monitoring of Network Traffic. Dagstuhl Seminar Proceedings, Volume 9211, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{keim_et_al:DagSemProc.09211.1,
  author =	{Keim, Daniel A. and Pras, Aiko and Sch\"{o}nw\"{a}lder, J\"{u}rgen and Wong, Pak Chung},
  title =	{{09211 Abstracts Collection – Visualization and Monitoring of Network Traffic }},
  booktitle =	{Visualization and Monitoring of Network Traffic},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9211},
  editor =	{Daniel A. Keim and Aiko Pras and J\"{u}rgen Sch\"{o}nw\"{a}lder and Pak Chung Wong},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09211.1},
  URN =		{urn:nbn:de:0030-drops-21586},
  doi =		{10.4230/DagSemProc.09211.1},
  annote =	{Keywords: Computer Networks, Internet, Monitoring of Networks and Services, Visualization Animation}
}
Document
09211 Executive Summary – Visualization and Monitoring of Network Traffic

Authors: Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong, and Florian Mansmann

Published in: Dagstuhl Seminar Proceedings, Volume 9211, Visualization and Monitoring of Network Traffic (2009)


Abstract
The seamless operation of the Internet requires being able to monitor and visualize the actual behaviour of the network. Today, IP network operators usually collect network flow statistics from critical points of their network infrastructure. Flows aggregate packets that share common properties. Flow records are stored and analyzed to extract accounting information and increasingly to identify and isolate network problems or security incidents. While network problems or attacks significantly changing traffic patterns are relatively easy to identify, it tends to be much more challenging to identify creeping changes or attacks and faults that manifest themselves only by very careful analysis of initially seemingly unrelated traffic pattern and their changes. There are currently no deployable good solutions and research in this area is just starting. In addition, the large volume of flow data on high capacity networks and exchange points requires to move to probabilistic sampling techniques, which require new analysis techniques to calculate and also visualize the uncertainty attached to data sets.

Cite as

Daniel A. Keim, Aiko Pras, Jürgen Schönwälder, Pak Chung Wong, and Florian Mansmann. 09211 Executive Summary – Visualization and Monitoring of Network Traffic. In Visualization and Monitoring of Network Traffic. Dagstuhl Seminar Proceedings, Volume 9211, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{keim_et_al:DagSemProc.09211.2,
  author =	{Keim, Daniel A. and Pras, Aiko and Sch\"{o}nw\"{a}lder, J\"{u}rgen and Wong, Pak Chung and Mansmann, Florian},
  title =	{{09211 Executive Summary – Visualization and Monitoring of Network Traffic}},
  booktitle =	{Visualization and Monitoring of Network Traffic},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9211},
  editor =	{Daniel A. Keim and Aiko Pras and J\"{u}rgen Sch\"{o}nw\"{a}lder and Pak Chung Wong},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09211.2},
  URN =		{urn:nbn:de:0030-drops-21574},
  doi =		{10.4230/DagSemProc.09211.2},
  annote =	{Keywords: Computer Networks, Internet, Monitoring of Networks and Services, Visualization Animation}
}
Document
Accounting system for heterogeneous IP-networks (IPNA) implemented at Kaiserslautern University

Authors: Brian Worden, Claudia Baltes, Inga Scheler, Paul Müller, and Hans Hagen

Published in: Dagstuhl Seminar Proceedings, Volume 9211, Visualization and Monitoring of Network Traffic (2009)


Abstract
This paper describes an accounting system (IPNA) for heterogenous IP-networks with arbitrary topologies implemented at the university of Kaiserslautern. The produced data volume per unit is numerated. The collected data is stored in a database and offers different analysis possibilities. The results can be visualized and adapted to the users requirements. The main effort was to build a data traffic quota system for single units as well as groups of devices that also report exceeded quotas. The system itself only observes the network traffic. Interfaces offer tools to interact with the network. The IPNA consists of a back-end for the data- acquisition and -preparation and a front-end for configuration and visualization tasks including quality control.

Cite as

Brian Worden, Claudia Baltes, Inga Scheler, Paul Müller, and Hans Hagen. Accounting system for heterogeneous IP-networks (IPNA) implemented at Kaiserslautern University. In Visualization and Monitoring of Network Traffic. Dagstuhl Seminar Proceedings, Volume 9211, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{worden_et_al:DagSemProc.09211.3,
  author =	{Worden, Brian and Baltes, Claudia and Scheler, Inga and M\"{u}ller, Paul and Hagen, Hans},
  title =	{{Accounting system for heterogeneous IP-networks (IPNA) implemented at Kaiserslautern University}},
  booktitle =	{Visualization and Monitoring of Network Traffic},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9211},
  editor =	{Daniel A. Keim and Aiko Pras and J\"{u}rgen Sch\"{o}nw\"{a}lder and Pak Chung Wong},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09211.3},
  URN =		{urn:nbn:de:0030-drops-21557},
  doi =		{10.4230/DagSemProc.09211.3},
  annote =	{Keywords: Accounting system, IP-network, Communication, informa- tion visualization, online quality control}
}
Document
Comparison of Node-Link and Hierarchical Edge Bundling Layouts: A User Study

Authors: Alexandru Telea, Ozan Ersoy, Hessel Hoogendorp, and Dennie Reniers

Published in: Dagstuhl Seminar Proceedings, Volume 9211, Visualization and Monitoring of Network Traffic (2009)


Abstract
Visually investigating large network-like structures is a challenging task. Several approaches have been proposed in the past: node-link diagrams, adjacency matrices, and, more recently, hierarchical edge bundles. We present a recent experiment that compares the effectiveness of the classical node-link diagrams with the more recent hierarchical bundled edges. The users involved several computer science practitioners, the data ranged from graphs of several hundreds to several tens of hundreds of nodes, the tasks involved answering a number of structural overview as well as detailed questions involved system dependencies.

Cite as

Alexandru Telea, Ozan Ersoy, Hessel Hoogendorp, and Dennie Reniers. Comparison of Node-Link and Hierarchical Edge Bundling Layouts: A User Study. In Visualization and Monitoring of Network Traffic. Dagstuhl Seminar Proceedings, Volume 9211, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{telea_et_al:DagSemProc.09211.4,
  author =	{Telea, Alexandru and Ersoy, Ozan and Hoogendorp, Hessel and Reniers, Dennie},
  title =	{{Comparison of Node-Link and Hierarchical Edge Bundling Layouts: A User Study}},
  booktitle =	{Visualization and Monitoring of Network Traffic},
  pages =	{1--12},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9211},
  editor =	{Daniel A. Keim and Aiko Pras and J\"{u}rgen Sch\"{o}nw\"{a}lder and Pak Chung Wong},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09211.4},
  URN =		{urn:nbn:de:0030-drops-21542},
  doi =		{10.4230/DagSemProc.09211.4},
  annote =	{Keywords: Graph visualization, user studies, software visualization, call graphs}
}
Document
Interactive Exploration of the Network Behavior of Personal Machines

Authors: Mike Sips, Sascha Simon, and John Gerth

Published in: Dagstuhl Seminar Proceedings, Volume 9211, Visualization and Monitoring of Network Traffic (2009)


Abstract
Personal machines are often the weakest points within a large network. Although they run an ever-increasing number of network services, these machines are often controlled by users who are unaware of security threats. Thus, a well-informed attacker can, with modest effort, identify and gain control over personal machines. However, system administrators need to know the tools and techniques used for attacks while simultaneously needing to invest huge analytical efforts to detect malicious behavior in the vast volumes of network traffic. In our research project we investigate the idea that an understanding of the regular behavior of personal machines can improve the chance of detecting the point in time when a machine shows malicious behavior. We propose a visual exploration system based on a data abstraction layer and temporal visual representations of the network traffic. The data abstraction layer enables an interactive change in the level of detail of the network traffic while temporal visualizations help system administrators to detect unexpected network traffic. In the next phase of this project, we will conduct experiments to get a good feel about the limits of our system in detecting malicious behavior in real-world scenarios.

Cite as

Mike Sips, Sascha Simon, and John Gerth. Interactive Exploration of the Network Behavior of Personal Machines. In Visualization and Monitoring of Network Traffic. Dagstuhl Seminar Proceedings, Volume 9211, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{sips_et_al:DagSemProc.09211.5,
  author =	{Sips, Mike and Simon, Sascha and Gerth, John},
  title =	{{Interactive Exploration of the Network Behavior of Personal Machines}},
  booktitle =	{Visualization and Monitoring of Network Traffic},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9211},
  editor =	{Daniel A. Keim and Aiko Pras and J\"{u}rgen Sch\"{o}nw\"{a}lder and Pak Chung Wong},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09211.5},
  URN =		{urn:nbn:de:0030-drops-21565},
  doi =		{10.4230/DagSemProc.09211.5},
  annote =	{Keywords: Visualization, Communication Patterns, Data Abstraction, Personal Machines}
}
Document
07291 Abstracts Collection – Scientific Visualization

Authors: David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim

Published in: Dagstuhl Seminar Proceedings, Volume 7291, Scientific Visualization (2008)


Abstract
From 15.07. to 20.07.07, the Dagstuhl Seminar 07291 ``Scientific Visualization'' was held in the International Conference and Research Center (IBFI),Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim. 07291 Abstracts Collection – Scientific Visualization. In Scientific Visualization. Dagstuhl Seminar Proceedings, Volume 7291, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


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@InProceedings{ebert_et_al:DagSemProc.07291.1,
  author =	{Ebert, David S. and Hagen, Hans and Joy, Kenneth I. and Keim, Daniel A.},
  title =	{{07291 Abstracts Collection – Scientific Visualization}},
  booktitle =	{Scientific Visualization},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7291},
  editor =	{David S. Ebert and Hans Hagen and Kenneth I. Joy and Daniel A. Keim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.07291.1},
  URN =		{urn:nbn:de:0030-drops-14145},
  doi =		{10.4230/DagSemProc.07291.1},
  annote =	{Keywords: Markov chains, numerical methods, web information retrieval, performance evaluation, intrusion detection, aggregation-disaggregation methods, graph-oriented decomposition}
}
Document
07291 Summary – Scientific Visualization

Authors: David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim

Published in: Dagstuhl Seminar Proceedings, Volume 7291, Scientific Visualization (2008)


Abstract
Scientific visualization (SV) is concerned with the use of computer-generated images to aid the understanding, analysis and manipulation of data. Since its beginning in the early 90's, the techniques of SV have aided scientists, engineers, medical practitioners, and others in the study of a wide variety of data sets including, for example, high performance computing simulations, measured data from scanners (CAT, MR, confocal microscopy), internet traffic, and financial records. One of the important themes being nurtured under the aegis of Scientific Visualization is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes and simulations involving voluminous data sets across diverse scientific disciplines. Since vision dominates our sensory input, strong efforts have been made to bring the mathematical abstraction and modeling to our eyes through the mediation of computer graphics. This interplay between various application areas and their specific problem solving visualization techniques was emphasized in the proposed seminar.

Cite as

David S. Ebert, Hans Hagen, Kenneth I. Joy, and Daniel A. Keim. 07291 Summary – Scientific Visualization. In Scientific Visualization. Dagstuhl Seminar Proceedings, Volume 7291, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


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@InProceedings{ebert_et_al:DagSemProc.07291.2,
  author =	{Ebert, David S. and Hagen, Hans and Joy, Kenneth I. and Keim, Daniel A.},
  title =	{{07291 Summary – Scientific Visualization}},
  booktitle =	{Scientific Visualization},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7291},
  editor =	{David S. Ebert and Hans Hagen and Kenneth I. Joy and Daniel A. Keim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.07291.2},
  URN =		{urn:nbn:de:0030-drops-14132},
  doi =		{10.4230/DagSemProc.07291.2},
  annote =	{Keywords: Markov chains, numerical methods, web information retrieval, performance evaluation, intrusion detection, aggregation-disaggregation methods graph-oriented decomposition}
}
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