Mike Sips

According to our database, Mike Sips authored at least 42 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

F4ESS - a framework for interdisciplinary data-driven earth system science.

Doris Dransch, Daniel Eggert, Mike Sips

Int. J. Digit. Earth, December, 2023

2022

DASF: A data analytics software framework for distributed environments.

Daniel Eggert, Mike Sips, Philipp S. Sommer, Doris Dransch

J. Open Source Softw., October, 2022

2018

Visual Clustering.

Mike Sips

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

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

2017

PyRQA - Conducting recurrence quantification analysis on very long time series efficiently.

Tobias Rawald, Mike Sips, Norbert Marwan

Comput. Geosci., 2017

2016

Toward a Visual Analytics Approach to Support Multi-Sensor Analysis in Remote Sensing Science.

Mike Sips, Patrick Köthur, Daniel Eggert

Datenbank-Spektrum, 2016

Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges.

Patrick Köthur, Daniel Eggert, Andreas Schenk, Mike Sips

Proceedings of the 7th International EuroVis Workshop on Visual Analytics, 2016

Towards Visual Analytics for Multi-Sensor Analysis of Remote Sensing Archives.

Daniel Eggert, Mike Sips, Patrick Köthur

Proceedings of the 4th Workshop on Visualisation in Environmental Sciences, 2016

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 Interactive Definition of Fast Surrogate Models for Geochemical Simulations Using Visual Analysis.

Janis Jatnieks, Mike Sips, Marco De Lucia, Doris Dransch

Proceedings of the 3rd Workshop on Visualisation in Environmental Sciences, 2015

Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware.

Tobias Rawald, Mike Sips, Norbert Marwan, Ulf Leser

Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

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

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

An Interactive Visualization Approach to Explore Mass Variations in the Earth System.

Tobias Rawald, Mike Sips, Ingo Sasgen, Doris Dransch

Proceedings of the 2nd Workshop on Visualisation in Environmental Sciences, 2014

2013

Perceptually Driven Visibility Optimization for Categorical Data Visualization.

Sungkil Lee, Mike Sips, Hans-Peter Seidel

IEEE Trans. Vis. Comput. Graph., 2013

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

Visualization of Geospatial Time Series from Environmental Modeling Output.

Patrick Köthur, Mike Sips, Julian Kuhlmann, Doris Dransch

Proceedings of the 14th Eurographics Conference on Visualization, 2012

2011

Supporting Display Scalability by Redundant Mapping.

Axel Radloff, Martin Luboschik, Mike Sips, Heidrun Schumann

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

2009

Visual Clustering.

Mike Sips

Proceedings of the Encyclopedia of Database Systems, 2009

Selecting good views of high-dimensional data using class consistency.

Mike Sips, Boris Neubert, John P. Lewis, Pat Hanrahan

Comput. Graph. Forum, 2009

Interactive Exploration of the Network Behavior of Personal Machines.

Mike Sips, Sascha Simon, John Gerth

Proceedings of the Visualization and Monitoring of Network Traffic, 17.05. - 20.05.2009, 2009

2007

An automated approach for the optimization of pixel-based visualizations.

Jörn Schneidewind, Mike Sips, Daniel A. Keim

Inf. Vis., 2007

Highlighting space-time patterns: Effective visual encodings for interactive decision-making.

Mike Sips, Jörn Schneidewind, Daniel A. Keim

Int. J. Geogr. Inf. Sci., 2007

2006

Pixel-based visual data mining in large geo-spatial point sets.

Mike Sips

PhD thesis, 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

Scalable Pixel Based Visual Data Exploration.

Daniel A. Keim, Jörn Schneidewind, Mike Sips

Proceedings of the Pixelization Paradigm, First Visual Information Expert Workshop, 2006

Scalable Pixel-based Visual Interfaces: Challenges and Solutions.

Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann

Proceedings of the 10th International Conference on Information Visualisation, 2006

Pixnostics: Towards Measuring the Value of Visualization.

Jörn Schneidewind, Mike Sips, Daniel A. Keim

Proceedings of the 1st IEEE Symposium On Visual Analytics Science And Technology, 2006

Task-at-hand interface for change detection in stock market data.

Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Christian Panse, Robert Spence

Proceedings of the working conference on Advanced visual interfaces, 2006

2005

Mail Explorer - Spatial and Temporal Exploration of Electronic Mail.

Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips

Proceedings of the 7th Joint Eurographics, 2005

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

Proceedings of the Visualization Handbook., 2005

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

Pixel based visual data mining of geo-spatial data.

Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North

Comput. Graph., 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

Proceedings of the 12-th International Conference in Central Europe on Computer Graphics, 2004

Finding Spatial Patterns in Network Data.

Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips

Proceedings of the Intl. Workshop on Pattern Representation and Management, 2004

Exploring and Visualizing the History of InfoVis.

Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips

Proceedings of the 10th IEEE Symposium on Information Visualization (InfoVis 2004), 2004

RecMap: Rectangular Map Approximations.

Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips

Proceedings of the 10th IEEE Symposium on Information Visualization (InfoVis 2004), 2004

Analyzing Large Collections of Email.

Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004

CircleView: a new approach for visualizing time-related multidimensional data sets.

Daniel A. Keim, Jörn Schneidewind, Mike Sips

Proceedings of the working conference on Advanced visual interfaces, 2004

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

Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets.

Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Visual Data Mining of Large Spatial Data Sets.

Daniel A. Keim, Christian Panse, Mike Sips

Proceedings of the Databases in Networked Information Systems, 2003