FOCUS: the interactive table for product comparison and selection
Proceedings of the 9th annual ACM symposium on User interface software and technology
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Data mining
Data Analysis with SPSS
Data Analysis Using Microsoft Excel: Updated for Windows 95
Data Analysis Using Microsoft Excel: Updated for Windows 95
Detecting Interesting Exceptions from Medical Test Data with Visual Summarization
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Extending taxonomic visualisation to incorporate synonymy and structural markers
Information Visualization - Special issue: Bioinformatics visualization
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data
Artificial Intelligence in Medicine
ManyNets: an interface for multiple network analysis and visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Intelligent visualization and exploration of time-oriented data of multiple patients
Artificial Intelligence in Medicine
Intelligent selection and retrieval of multiple time-oriented records
Journal of Intelligent Information Systems
First-Order rule mining by using graphs created from temporal medical data
AM'03 Proceedings of the Second international conference on Active Mining
Information visualization and its application to medicine
Artificial Intelligence in Medicine
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This paper describes the application of the data analysis tool InfoZoom to a database containing the results of blood examinations for about 400 patients with a suspect of thrombosis. The main goal was to find correlations between the measurements and the occurrence of a thrombosis. No automatic method for data mining is used. Instead, InfoZoom uses a novel technique to display data sets as highly compressed tables which always fit completely onto the screen. The user can interactively explore animated tabular views of the data. In this way, the user gets a feeling of the data, detects interesting knowledge, and gains a deep understanding of the data set.