The influence of active region information on the prediction of solar flares: an empirical model using data mining
Predicting the occurrence of solar flares is a challenge of great importance for many space weather scientists and users. We introduce a data mining approach, called Behavior Pattern Learning (BPL), for automatically discovering correlations between solar flares and active region data, in order...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2005-11-01
|
| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/23/3129/2005/angeo-23-3129-2005.pdf |