Translator Disclaimer
9 July 2008 System architectural design of multiwavelength data mining
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanxia Zhang, Yongheng Zhao, and Hongwen Zheng "System architectural design of multiwavelength data mining", Proc. SPIE 7017, Modeling, Systems Engineering, and Project Management for Astronomy III, 70171M (9 July 2008); https://doi.org/10.1117/12.788398
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Data mining approach to web application intrusions detection
Proceedings of SPIE (October 06 2011)
A review of contrast pattern based data mining
Proceedings of SPIE (July 05 2015)
Knowledge discovery in astronomical data
Proceedings of SPIE (July 14 2008)
Mining hospital management data
Proceedings of SPIE (April 17 2006)

Back to Top