Description
Within DisCo (*), we aim to develop novel Visual Analytics methods to visually as well as computationally analyse multivariate, time-oriented data and information to discover new and unexpected trends, patterns, and relationships. The main goals of the intertwined visual and analytical methods are to ensure high usability and good control of the integrated mining techniques by applying intuitive visualizations and visual interfaces. By combining the expertise of our project partners in the fields of visualization, analysis, usability, and time intelligence, we are able to cover the broad range of problem-related issues imposed by the user’s, the technological, and the application’s point of view.
Details
| Duration | 01/04/2007 - 31/05/2010 |
|---|---|
| Funding | FFG |
| Program | FIT-IT Visual Computing |
| Principle investigator for the project (University for Continuing Education Krems) | Mag. Michael Smuc |
| Project members |
Mag. Michael Smuc
|
Lectures
MuTIny: A Multi-Time Interval Pattern Discovery Approach To Preserve The Temporal Information In Between
To Score or Not to Score? Tripling Insights for Participatory Design
Evaluation of SAX functionalities
A Matter of Time: Machine Learning and Temporal Data Mining
Toolkits für die Visualisierung