Data-mining Based Expert Platform for the Spectral Inspection. Issue Volume 10:Issue S306(2014) (1st July 2015)

• Record Type: Journal Article
• Authors: Tian, Haijun; Xu, Yang; Tu, Yang; Zhang, Yanxia; Zhao, Yongheng; Lei, Guohong; He, Boliang; Cui, Chenzhou; Chen, Xuelei
• Editors: Heavens, A. F.; Starck, J.-L.; Krone-Martins, A.
• Is Part Of: Proceedings of the International Astronomical Union. Volume 10:Issue S306(2014)
• Page Start: 292
• Page End: 294
• Publication Date: 2015-07-01
• Subjects: techniques: photometric, -- methods: data analysis, -- catalogs; Astronomy -- Congresses; Astronomy -- Periodicals; 520
• DOI: 10.1017/S1743921314013453
• Languages: English
• ISSNs: 1743-9213

Abstract

Abstract: We propose and preliminarily implement a data-mining based platform to assist experts to inspect the increasing amount of spectra with low signal to noise ratio (SNR) generated by large sky surveys. The platform includes three layers: data-mining layer, data-node layer and expert layer. It is similar to the GalaxyZoo project and it is VO-compatible. The preliminary experiment suggests that this platform can play an effective role in managing the spectra and assisting the experts to inspect a large number of spectra with low SNR.