Learning systems in massive databases are key elements for the development of both efficient data retrieval methods and data-driven theories. Typically in fusion, waveforms have a very high dimensionality and the construction of classification systems (mainly through unsupervised techniques) without the help of visual techniques is very difficult. The Grand Tour is a 2D visual exploratory method that can be used in the clustering process. Applications to data retrieval and disruption classification in JET are presented.
|Publication status||Published - 2008|
|Event||Computational Intelligence in Decision and Control - 8th International FLINS Conference - , Spain|
Duration: 1 Jan 2008 → …
|Conference||Computational Intelligence in Decision and Control - 8th International FLINS Conference|
|Period||1/1/08 → …|
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Information Systems and Management
- Control and Systems Engineering
Vega, J., Rattá, G. A., Castro, P., & Murari, A. (2008). Development of learning systems with data tours techniques for fusion databases. Paper presented at Computational Intelligence in Decision and Control - 8th International FLINS Conference, Spain.