Visual Data Mining of Large Spatial Data Sets. - Daniel A. Keim; Christian Panse; Mike Sips (DNIS, 2003)

PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets. - Daniel A. Keim; Christian Panse; Mike Sips; Stephen C. North (ICDM, 2003)

Pushing the Limit in Visual Data Exploration: Techniques and Applications. - Daniel A. Keim; Christian Panse; Jörn Schneidewind; Mike Sips; Ming C. Hao; Umeshwar Dayal (KI, 2003)

CircleView: a new approach for visualizing time-related multidimensional data sets. - Daniel A. Keim; Jörn Schneidewind; Mike Sips (AVI, 2004)

Analyzing Large Collections of Email. - Daniel A. Keim; Christian Panse; Jörn Schneidewind; Mike Sips (IKE, 2004)

RecMap: Rectangular Map Approximations. - Roland Heilmann; Daniel A. Keim; Christian Panse; Mike Sips (INFOVIS, 2004)

Exploring and Visualizing the History of InfoVis. - Daniel A. Keim; Helmut Barro; Christian Panse; Jörn Schneidewind; Mike Sips (INFOVIS, 2004)

Finding Spatial Patterns in Network Data. - Roland Heilmann; Daniel A. Keim; Christian Panse; Jörn Schneidewind; Mike Sips (PaRMa, 2004)

Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps. - Daniel A. Keim; Christian Panse; Jörn Schneidewind; Mike Sips (WSCG, 2004)

Pixel based visual data mining of geo-spatial data. - Daniel A. Keim; Christian Panse; Mike Sips; Stephen C. North (Comput. Graph., 2004)

Visual Data Mining in Large Geospatial Point Sets. - Daniel A. Keim; Christian Panse; Mike Sips; Stephen C. North (IEEE Computer Graphics and Applications, 2004)

Visual Data-Mining Techniques An earlier version of this paper with focus on visualization techniques and their classification has been published in Visual Data Analysis: An Introduction (D. Hand and M. Berthold, Eds.). - Daniel A. Keim; Mike Sips; Mihael Ankerst (The Visualization Handbook, 2005)

Mail Explorer - Spatial and Temporal Exploration of Electronic Mail. - Daniel A. Keim; Florian Mansmann; Christian Panse; Jörn Schneidewind; Mike Sips (EuroVis, 2005)

Task-at-hand interface for change detection in stock market data. - Carmen Sanz Merino; Mike Sips; Daniel A. Keim; Christian Panse; Robert Spence (AVI, 2006)

Pixnostics: Towards Measuring the Value of Visualization. - Jörn Schneidewind; Mike Sips; Daniel A. Keim (IEEE VAST, 2006)

Scalable Pixel-based Visual Interfaces: Challenges and Solutions. - Mike Sips; Jörn Schneidewind; Daniel A. Keim; Heidrun Schumann (IV, 2006)

Scalable Pixel Based Visual Data Exploration. - Daniel A. Keim; Jörn Schneidewind; Mike Sips (VIEW, 2006)

Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement. - Christian Panse; Mike Sips; Daniel A. Keim; Stephen C. North (IEEE Trans. Vis. Comput. Graph., 2006)

Pixel-based visual data mining in large geo-spatial point sets. - Mike Sips (2006)

Highlighting space-time patterns: Effective visual encodings for interactive decision-making. - Mike Sips; Jörn Schneidewind; Daniel A. Keim (Int. J. Geogr. Inf. Sci., 2007)

An automated approach for the optimization of pixel-based visualizations. - Jörn Schneidewind; Mike Sips; Daniel A. Keim (Inf. Vis., 2007)

Interactive Exploration of the Network Behavior of Personal Machines. - Mike Sips; Sascha Simon; John Gerth (Visualization and Monitoring of Network Traffic, 2009)

Selecting good views of high-dimensional data using class consistency. - Mike Sips; Boris Neubert; John P. Lewis; Pat Hanrahan (Comput. Graph. Forum, 2009)

Visual Clustering. - Mike Sips (Encyclopedia of Database Systems, 2009)

Supporting Display Scalability by Redundant Mapping. - Axel Radloff; Martin Luboschik; Mike Sips; Heidrun Schumann (ISVC (1), 2011)

Visualization of Geospatial Time Series from Environmental Modeling Output. - Patrick Köthur; Mike Sips; Julian Kuhlmann; Doris Dransch (EuroVis (Short Papers), 2012)

A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series. - Mike Sips; Patrick Köthur; Andrea Unger; Hans-Christian Hege; Doris Dransch (IEEE Trans. Vis. Comput. Graph., 2012)

Perceptually Driven Visibility Optimization for Categorical Data Visualization. - Sungkil Lee 002; Mike Sips; Hans-Peter Seidel (IEEE Trans. Vis. Comput. Graph., 2013)

An Interactive Visualization Approach to Explore Mass Variations in the Earth System. - Tobias Rawald; Mike Sips; Ingo Sasgen; Doris Dransch (EnvirVis@EuroVis, 2014)

Interactive visual summaries for detection and assessment of spatiotemporal patterns in geospatial time series. - Patrick Köthur; Mike Sips; Andrea Unger; Julian Kuhlmann; Doris Dransch (Inf. Vis., 2014)

Visual Analytics for Comparison of Ocean Model Output with Reference Data: Detecting and Analyzing Geophysical Processes Using Clustering Ensembles. - Patrick Köthur; Mike Sips; Henryk Dobslaw; Doris Dransch (IEEE Trans. Vis. Comput. Graph., 2014)

Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware. - Tobias Rawald; Mike Sips; Norbert Marwan; Ulf Leser (EDBT/ICDT Workshops, 2015)

Towards Interactive Definition of Fast Surrogate Models for Geochemical Simulations Using Visual Analysis. - Janis Jatnieks; Mike Sips; Marco De Lucia; Doris Dransch (EnvirVis@EuroVis, 2015)

Visual Analytics for Correlation-Based Comparison of Time Series Ensembles. - Patrick Köthur; Carl Witt; Mike Sips; Norbert Marwan; Stefan Schinkel; Doris Dransch (Comput. Graph. Forum, 2015)

Towards Visual Analytics for Multi-Sensor Analysis of Remote Sensing Archives. - Daniel Eggert; Mike Sips; Patrick Köthur (EnvirVis@EuroVis, 2016)

Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges. - Patrick Köthur; Daniel Eggert; Andreas Schenk; Mike Sips (EuroVA@EuroVis, 2016)

Toward a Visual Analytics Approach to Support Multi-Sensor Analysis in Remote Sensing Science. - Mike Sips; Patrick Köthur; Daniel Eggert (Datenbank-Spektrum, 2016)

PyRQA - Conducting recurrence quantification analysis on very long time series efficiently. - Tobias Rawald; Mike Sips; Norbert Marwan (Comput. Geosci., 2017)

Understanding a Sequence of Sequences: Visual Exploration of Categorical States in Lake Sediment Cores. - Andrea Unger; Nadine Drager; Mike Sips; Dirk J. Lehmann (IEEE Trans. Vis. Comput. Graph., 2018)

Visual Clustering. - Mike Sips (Encyclopedia of Database Systems (2nd ed.), 2018)

DASF: A data analytics software framework for distributed environments. - Daniel Eggert; Mike Sips; Philipp S. Sommer; Doris Dransch (J. Open Source Softw., 2022)

MultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions - Initial Results from an Ongoing Interdisciplinary Collaboration. - Mike Sips; Magdalena Vassileva; Daniel Eggert; Mahdi Motagh (EnvirVis@EuroVis, 2023)

F4ESS - a framework for interdisciplinary data-driven earth system science. - Doris Dransch; Daniel Eggert; Mike Sips (Int. J. Digit. Earth, 2023)

HPExplorer: XAI Method to Explore the Relationship Between Hyperparameters and Model Performance. - Yulia Grushetskaya; Mike Sips; Reyko Schachtschneider; Mohammadmehdi Saberioon; Akram Mahan (ECML/PKDD (9), 2024)