Mike Sips

发表

Pushing the Limit in Visual Data Exploration: Techniques and Applications

Daniel A. Keim, Umeshwar Dayal, Ming C. Hao, 2003, KI.

Perceptually Driven Visibility Optimization for Categorical Data Visualization

Hans-Peter Seidel, Sungkil Lee, Mike Sips, 2013, IEEE Transactions on Visualization and Computer Graphics.

GeoVisual Analytics

Mike Sips, D. Dransch, A. Unger, 2019, Springer Reference Naturwissenschaften.

Video Indexing

Marcel Worring, Marta Mattoso, Yannis Sismanis, 2009, Encyclopedia of Database Systems.

Visual Data Analysis

Marcel Worring, Marta Mattoso, Yannis Sismanis, 2009, Encyclopedia of Database Systems.

Visual Similarity

Cees G. M. Snoek, Heng Tao Shen, Yannis Sismanis, 2009, Encyclopedia of Database Systems.

Exploring mass variations in the Earth system

I. Sasgen, Mike Sips, A. Unger, 2016 .

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, Mihael Ankerst, Mike Sips, 2005, The Visualization Handbook.

Interactive visual summaries for detection and assessment of spatiotemporal patterns in geospatial time series

Doris Dransch, Mike Sips, Andrea Unger, 2014, Inf. Vis..

Visualization of Geospatial Time Series from Environmental Modeling Output

Doris Dransch, Mike Sips, Patrick Köthur, 2012, EuroVis.

Visual data mining in large geospatial point sets

Daniel A. Keim, Mike Sips, Stephen C. North, 2004, IEEE Computer Graphics and Applications.

Pixel based visual data mining of geo-spatial data

Daniel A. Keim, Mike Sips, Stephen C. North, 2004, Comput. Graph..

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

Mike Sips, Patrick Köthur, Daniel Eggert, 2016, Datenbank-Spektrum.

Data-driven Surrogate Model Approach for Improving the Performance of Reactive Transport Simulations☆

Doris Dransch, Mike Sips, Marco De Lucia, 2016 .

Pixnostics: Towards Measuring the Value of Visualization

Daniel A. Keim, Mike Sips, Jörn Schneidewind, 2006, 2006 IEEE Symposium On Visual Analytics Science And Technology.

Finding Spatial Patterns in Network Data

Daniel A. Keim, Mike Sips, Christian Panse, 2004, PaRMa.

Information Visualization : Scope, Techniques and Opportunities for Geovisualization

Daniel A. Keim, Mike Sips, Christian Panse, 2004 .

FP-Viz: Visual Frequent Pattern Mining

Daniel A. Keim, Mike Sips, Jörn Schneidewind, 2005 .

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

Andreas Schenk, Mike Sips, Patrick Köthur, 2016, EuroVA@EuroVis.

Visual Analytics for Comparison of Ocean Model Output with Reference Data: Detecting and Analyzing Geophysical Processes Using Clustering Ensembles

Doris Dransch, Mike Sips, Patrick Köthur, 2014, IEEE Transactions on Visualization and Computer Graphics.

Eurographics/ Ieee-vgtc Symposium on Visualization 2009 Selecting Good Views of High-dimensional Data Using Class Consistency

John P. Lewis, Pat Hanrahan, Mike Sips, 2022 .

Understanding a Sequence of Sequences: Visual Exploration of Categorical States in Lake Sediment Cores

Mike Sips, Dirk J. Lehmann, Andrea Unger, 2018, IEEE Transactions on Visualization and Computer Graphics.

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

Tobias Rawald, Mike Sips, Norbert Marwan, 2017, Comput. Geosci..

An Automated Approach for the Optimization of Pixel-Based Visualizations

Daniel A. Keim, Mike Sips, Jörn Schneidewind, 2007, Inf. Vis..

GCex: A Visual Analytics Approach for Interactive Exploration of Geochemical Models

Mike Sips, Marco De Lucia, Janis Jatnieks, 2015 .

Visual Analytics for Correlation‐Based Comparison of Time Series Ensembles

Doris Dransch, Mike Sips, Norbert Marwan, 2015, Comput. Graph. Forum.

A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series

Doris Dransch, Mike Sips, Hans-Christian Hege, 2012, IEEE Transactions on Visualization and Computer Graphics.

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

Doris Dransch, Tobias Rawald, Mike Sips, 2014, EnvirVis@EuroVis.

Fast Computation of Recurrences in Long Time Series

Doris Dransch, Tobias Rawald, Mike Sips, 2014 .

PixelMaps: a new visual data mining approach for analyzing large spatial data sets

Daniel A. Keim, Mike Sips, Stephen C. North, 2003, Third IEEE International Conference on Data Mining.

HistoScale: An Efficient Approach for Computing Pseudo-Cartograms

Daniel A. Keim, Mike Sips, Stephen C. North, 2003 .

Interannual Variations of Terrestrial Water Storage in the East African Rift Region

Mike Sips, A. Güntner, H. Dobslaw, 2022 .

43 Visual Data-Mining Techniques*

Daniel A. Keim, Mihael Ankerst, Mike Sips, 2004 .