Interactive Exploration of the Network Behavior of Personal Machines (2009)
Sips, Mike, Simon, Sascha, Gerth, John
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...
Daniel A. Keim, Florian Mansmann, Christian Panse, Jörn Schneidewind, Mike Sips
In today’s world, e-mail has become one of the most important means of communication in business and private lives due to its efficiency. However, the problems start as soon as mail volumes go...
Scalable Pixel-based Visual Interfaces: Challenges and Solutions (2008)
Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann
The information revolution is creating and publishing vast data sets, such as records of business transactions, environmental statistics and census demographics. In many application domains, this...
1 Motivation Exploring and Visualizing the History of InfoVis (2008)
Daniel A. Keim, Helmut Barro, Christian Panse, Jörn Schneidewind, Mike Sips
The exploration and visualization of large information spaces is a challenging task. The provided contest data set for example contains more than 1000 authors of about 600 papers. The basic idea for...
IVC’05 Exploration Toolkit (2008)
Daniel Keim, Jörn Schneidewind, Christian Panse, Mike Sips, Jakob Haddick, Fabian Dill, ...
Providing effective and intuitive visualization tools for the InfoVis Contest 2005 tasks is a challenging ambition. Due to the size, complexity and data-type variety of the given dataset, most of the...
Scalable Pixel based Visual Data Exploration (2008)
Daniel A. Keim, Jörn Schneidewind, Mike Sips
Abstract. Pixel based visualization techniques have proven to be of high value in visual data exploration. Mapping data points to pixels not only allows the analysis and visualization of large data...
Highlighting Space-Time Patterns: Effective Visual Encodings for Interactive Decision Making (2008)
Mike Sips, Jörn Schneidewind, Daniel A. Keim
The research reported in this paper focuses on integrating analytical and visual methods in order to explore complex patterns in geo-related multivariate data sets and to understand changes of these...
Information at your finger tips: Exploring the US Census Data (2008)
U.S. National Level plot there are high income clusters on the East Side of Central Park, and in suburbs of Chicago but not its downtown neighborhood. In the San Francisco area we can identify...
An Automated Approach for the Optimization of Pixel Based Visualizations (2007)
Schneidewind, Jörn, Sips, Mike, Keim, Daniel A.
During the last two decades, a wide variety of advanced methods for the visual exploration of large data sets have been proposed.For most of these techniques user interaction has become a crucial...
Highlighting Space-Time Pattern : Effective Visual Encodings for Interactive Decision Making (2007)
Sips, Mike, Schneidewind, Jörn, Keim, Daniel A.
The research reported in this paper focuses on integrating analytical and visual methods in order to explore complex patterns in geo-related multivariate data sets and to understand changes of these...
Panse, Christian, Sips, Mike, Keim, Daniel A., North, Stephen C.
In many applications, data is collected and indexed by geo-spatial location. Discovering interesting patterns through visualization is an important way of gaining insight about such data. A...
Exploration of the Local Distribution of Major Ethnic Groups in the USA (2006)
Belle, Sebastian Kay, Oelke, Daniela, Oettl, Sonja, Sips, Mike
Knowledge about the local distribution of major ethnic groups in the USA is an important source of information upon which the success of political and economic decisions may depend. Enhancing this...
Scalable Pixel based Visual Data Exploration (2006)
Keim, Daniel A., Schneidewind, Jörn, Sips, Mike
Pixel based visualization techniques have proven to be of high value in visual data exploration. Mapping data points to pixels not only allows the analysis and visualization of large data sets, but...
Task-At-Hand Interface for Change Detection in Stock Market Data (2006)
Sanz Merino, Carmen, Sips, Mike, Keim, Daniel A., Panse, Christian, Spence, Robert
Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousands of records) are...
Scalable Pixel-based Visual Interfaces : Challenges and Solutions (2006)
Sips, Mike, Schneidewind, Jörn, Keim, Daniel A., Schumann, Heidrun
The information revolution is creating and publishing vast data sets, such as records of business transactions, environmental statistics and census demographics. In many application domains, this...
FP-Viz: Visual Frequent Pattern Mining (2005)
Keim, Daniel A., Schneidewind, Jörn, Sips, Mike
Frequent pattern mining plays an essential role in many data analysis tasks including association-, correlation-, and causality analysis and has broad applications. Examples are market basket...
Mail Explorer - Spatial and Temporal Exploration of Electronic Mail (2005)
Keim, Daniel A., Mansmann, Florian, Panse, Christian, Schneidewind, Jörn, Sips, Mike
In todays world, e-mail has become one of the most important means of communication in business and private lives due to its efficiency. However, the problems start as soon as mail volumes go...
IVC05 Exploration Toolkit (2005)
Keim, Daniel A., Schneidewind, Jörn, Panse, Christian, Sips, Mike, Haddick, Jakob, Dill, Fabian, ...
Daniel A. Keim, Christian Panse, Mike Sips
Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data has become increasingly difficult. Information visualization and...
Pixel based Visual Mining of Geo-Spatial Data (2004)
Keim, Daniel A., Panse, Christian, Sips, Mike, North, Stephen C.
In many application domains, data is collected and referenced by geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an important capability in...
Information Visualization : Scope, Techniques and Opportunities for Geovisualization (2004)
Keim, Daniel A., Panse, Christian, Sips, Mike
Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data has become increasingly difficult. Information visualization and...
Circle View - A New Approach for Visualizing Time related Multidimensional Data Sets (2004)
Keim, Daniel A., Schneidewind, Jörn, Sips, Mike
This paper introduces a new approach for visualizing multidimensional time-referenced data sets, called Circle View. The Circle View technique is a combination of hierarchical visualization...
Exploring and Visualizing the History of InfoVis (2004)
Keim, Daniel A., Barro, Helmut, Panse, Christian, Schneidewind, Jörn, Sips, Mike
Analyzing Large Collections of E-Mail (2004)
Keim, Daniel A., Panse, Christian, Schneidewind, Jörn, Sips, Mike
One of the first applications of the Internet was the electronic mailing (e-mail). Along with the evolution of the Internet, e-mail has evolved into a powerful and popular technology. Messages,...
Finding Spatial Patterns in Network Data (2004)
Heilmann, Roland, Keim, Daniel A., Panse, Christian, Schneidewind, Jörn, Sips, Mike
Data on modern networks are massive and are applied in the area of monitoring and analyzing activities at the network element, network-wide, and customer and service levels for a heavily increasing...
Keim, Daniel A., Panse, Christian, Schneidewind, Jörn, Sips, Mike
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an important capability...
Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an important capability...
SIPS M.: Analyzing large collections of e-mail (2004)
Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
Abstract — One of the first applications of the Internet was the electronic mailing (e-mail). Along with the evolution of the Internet, e-mail has evolved into a powerful and popular technology....
Pixel based visual mining of geo-spatial data (2004)
Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
In many application domains, data is collected and referenced by geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an important capability in...
HistoScale: An Efficient Approach for Computing Pseudo-Cartograms (2003)
Keim, Daniel A., Panse, Christian, Schäfer, Matthias, Sips, Mike, North, Stephen C.
Visual Data Mining of Large Spatial Data Sets (2003)
Keim, Daniel A., Panse, Christian, Sips, Mike
Extraction of interesting knowledge from large spatial databases is an important task in the development of spatial database systems. Spatial data mining is the branch of data mining that deals with...
Pushing the Limit in Visual Data Exploration : Techniques and Applications (2003)
Keim, Daniel A., Panse, Christian, Schneidewind, Jörn, Sips, Mike, Hao, Ming C., Dayal, Umeshwar
With the rapid growth in size and number of available databases, it is necessary to explore and develop new methods for analysing the huge amounts of data. Mining information and interesting...
PixelMaps : A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets (2003)
Keim, Daniel A., Panse, Christian, Sips, Mike, North, Stephen C.
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kernel-density-based clustering with pixel-oriented displays to emphasize clusters while...
Finding Spatial Patterns in Network Data (1996)
Roland Heilmann, Daniel A. Keim, Christian Panse, Jörn Schneidewind, Mike Sips
Data on modern networks are massive and are applied in the area of monitoring and analyzing activities at the network element, network-wide, and customer and service levels for a heavily increasing...