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W. Jentner and D. A. Keim.
Visualization and Visual Analytic Techniques for Patterns.
High-Utility Pattern Mining: Theory, Algorithms and Applications, Springer International Publishing, pages 303-337, DOI: 10.1007/978-3-030-04921-8, 2019.
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V. Gold and M. El-Assady.
Visualisierung von deliberativer Kommunikation: Möglichkeiten und Potenziale für Planungs- und Beteiligungsverfahren.
Technologische Trends im Spannungsfeld von Beteiligung — Entscheidung — Planung. Fachforum Digitales Planen und Gestalten, Shaker Verlag, pages 39-52, DOI: 10.2370/9783844054392, 2018.
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L. Flekova, F. Stoffel, I. Gurevych and D. A. Keim.
Content-based Analysis and Visualization of Story Complexity.
, DOI: 10.17885/heiup.345.4742018.
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D. Streeb, M. Chen and D. A. Keim.
The Biases of Thinking Fast and Thinking Slow.
, DOI: 10.1007/978-3-319-95831-6_82018.
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M. Wagner, D. Sacha, A. Rind, F. Fischer, R. Luh, S. Schrittwieser, D. A. Keim and W. Aigner.
Visual Analytics: Foundations and Experiences in Malware Analysis.
To appear, 2017.
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J. Fuchs, D. Jäckle, N. Weiler and T. Schreck.
Leaf Glyphs: Story Telling and Data Analysis Using Environmental Data Glyph Metaphors.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 10th International Joint Conference, VISIGRAPP 2015, Berlin, Germany, March 11-14, 2015, Revised Selected Papers, Springer International Publishing, pages 123-143, DOI: 10.1007/978-3-319-29971-6_7, 2016.
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T. von Landesberger, T. Schreck, D. Fellner and J. Kohlhammer.
Visual Search and Analysis in Complex Information Spaces - Approaches and Research Challenges.
Expanding the Frontiers of Visual Analytics and Visualization (Ed. J. Dill and R. Earnshaw and D. Kasik and J. Vince and P. Wong), Springer, pages 45-68, 2012.
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S. Kisilevich and M. Last.
Exploring gender differences in member profiles of an online dating site across 35 countries.
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S. Kisilevich, D. A. Keim, N. Andrienko and G. Andrienko.
Towards acquisition of semantics of places and events by multi-perspective analysis of geotagged photo collections.
Lecture Notes in Geoinformation and Cartography, Springer Berlin Heidelberg, 2011.
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S. Kisilevich, D. A. Keim, A. Lasry, L. Bam and L. Rokach.
Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies.
Lecture Notes in Business Information Processing 73, J. Filipe and J. Cordeiro (Eds.): ICEIS 2010, Springer, Heidelberg, pages 495--511, DOI: 10.1007/978-3-642-19802-1_34, 2011.
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T. Ruppert, T. May, J. Kohlhammer and T. Schreck.
Visuelle Analysen des Datensatzes - Wie versteckte Zusammenhaeange sichtbar werden.
Allgemeinbildung in Deutschland - Erkenntnisse aus dem SPIEGEL-Studentenpisa-Test (Editors: S. Trepte and M. Verbeet), VS Verlag für Sozialwissenschaften (Springer Fachmedien), pages 87-104, 2010.
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T. Schreck.
Visual-Interactive Analysis With Self- Organizing Maps - Advances and Research Challenges.
Self-Organizing Maps (Editor: G. Matsopoulos), Intech, pages 83--96, 2010.
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S. Kisilevich, F. Mansmann, M. Nanni and S. Rinzivillo.
Spatio-temporal clustering.
The Data Mining and Knowledge Discovery Handbook, Springer, pages 855-874, DOI: 10.1007/978-0-387-09823-4_44, 2010.
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B. Bustos and T. Schreck.
Feature-Based 3D Object Retrieval.
Encyclopedia of Database Systems (Editors: L. Liu and T.  Ozsu), Springer, pages 1125-1128, 2009.
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S. Kisilevich, Y. Elovici, B. Shapira and L. Rokach.
kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity.
Protecting Persons While Protecting the People, Springer Berlin / Heidelberg, pages 63--81, DOI: 10.1007/978-3-642-10233-2_7, 2009.
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M. Litvak, M. Last and S. Kisilevich.
Classification of Web Documents using Concept Extraction from Ontologies.
, DOI: 10.1007/978-3-540-72839-9_242007.
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D. A. Keim, J. Schneidewind and M. Sips.
Scalable Pixel Based Visual Data Exploration.
Pixelization Paradigm, Springer, pages 12--24, 2007.
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D. A. Keim.
Datenvisualisierung und Data Mining.
Book Chapter in: Grundlagen der praktischen Information und Dokumentation by Rainer Kuhlen, Thomas Seeger, Dietmar Strauch, Saur Verlag München, pages 363-369, 2004.
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D. A. Keim, M. Ankerst and M. Sips.
Visual Data-Mining Techniques.
Book Chapter in: Visualization Handbook by Johnson and Hanson, Kolam Publishing, pages 813-825, 2004.
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D. A. Keim, M. Ankerst and M. Sips.
Visual Data Mining Techniques.
Visualization Handbook, Elsevier, pages 813-825, 2004.
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M. L. Kersten, G. Weikum, M. J. Franklin, D. A. Keim, A. Buchmann and S. Chaudhuri.
A Database Striptease or How to Manage Your Personal Databases.
VLDB 2003, Proceedings of 29th International Conference on Very Large Data Bases, September 9-12, 2003, Berlin, Germany, Morgan Kaufmann, pages 1043-1044, 2003.
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R. Baeza-Yates, B. Bustos, E. Chávez, N. Herrera and G. Navarro.
Clustering in Metric Spaces and Its Application to Information Retrieval.
in W. Wu, H. Xiong, and S. Shekhar (editors), Clustering and Information Retrieval, Kluwer Academic Publishers, pages 1-34, 2003.
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