Development of learning systems with data tours techniques for fusion databases

J. Vega, G.A. Rattá, P. Castro, A. Murari

Research output: Contribution to conferencePaper

Abstract

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.
Original languageEnglish
Publication statusPublished - 2008
Externally publishedYes
EventComputational Intelligence in Decision and Control - 8th International FLINS Conference - , Spain
Duration: 1 Jan 2008 → …

Conference

ConferenceComputational Intelligence in Decision and Control - 8th International FLINS Conference
CountrySpain
Period1/1/08 → …

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems and Management
  • Control and Systems Engineering

Cite this

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.