Astronomy and Astrophysics – Astrophysics
Scientific paper
2005-03-24
Astronomy and Astrophysics
Astrophysics
5 pages, 2 figures, to be published in the Proceedings of the 6th International Symposium ''Frontiers of Fundamental and Compu
Scientific paper
Data mining techniques, including clustering and classification tasks, for the automatic information extraction from large datasets are increasingly demanded in several scientific fields. In particular, in the astrophysical field, large archives and digital sky surveys with dimensions of 10E12 bytes currently exist, while in the near future they will reach sizes of the order of 10E15. In this work we propose a multidimensional indexing method to efficiently query and mine large astrophysical datasets. A novelty detection algorithm, based on the Support Vector Clustering and using density and neighborhood information stored in the index structure, is proposed to find regions of interest in data characterized by isotropic noise. We show an application of this method for the detection of point sources from a gamma-ray photon list.
Angelis Alessando de
Frailis Marco
Roberto V.
No associations
LandOfFree
Data Mining in Gamma Astrophysics Experiments does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Data Mining in Gamma Astrophysics Experiments, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data Mining in Gamma Astrophysics Experiments will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-587268