Data avalanche faced in astronomy, astronomical data covers from radio, infrared, optical, X-ray, even gamma ray band. Astronomy enters an all sky-survey era. Transforming data into knowledge depends on data mining techniques. How to effectively and efficiently extract knowledge from databases is an important issue. Especially mining knowledge from different bands or multiband is of great significance. In this paper, we design a system which includes four fundamental blocks: the first is used to create databases; the second for cross-matching objects from different bands, the third for mining knowledge from the large data volume and the last one for final result evaluation. The functionalities of the four blocks are described. The cross-match results are divided, and the analysis mode for each of them is touched upon. Moreover the schemes of classification, regression, clustering analysis and outlier detection are demonstrated.

Date Published: 9 July 2008
PDF: 8 pages
Proc. SPIE 7017, Modeling, Systems Engineering, and Project Management for Astronomy III, 70171M (9 July 2008); doi: 10.1117/12.788398

Published in SPIE Proceedings Vol. 7017:
Modeling, Systems Engineering, and Project Management for Astronomy III
George Z. Angeli; Martin J. Cullum, Editor(s)