
Proceedings Paper
System architectural design of multiwavelength data miningFormat | Member Price | Non-Member Price |
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Paper Abstract
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.
Paper Details
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)
PDF: 8 pages
Proc. SPIE 7017, Modeling, Systems Engineering, and Project Management for Astronomy III, 70171M (9 July 2008); doi: 10.1117/12.788398
Show Author Affiliations
Yanxia Zhang, National Astronomical Observatories (China)
Yongheng Zhao, National Astronomical Observatories (China)
Yongheng Zhao, National Astronomical Observatories (China)
Hongwen Zheng, North China Electric Power Univ. (China)
Published in SPIE Proceedings Vol. 7017:
Modeling, Systems Engineering, and Project Management for Astronomy III
George Z. Angeli; Martin J. Cullum, Editor(s)
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