Translator Disclaimer
27 September 2012 Data mining and knowledge discovery resources for astronomy in the web 2.0 age
Author Affiliations +
The emerging field of AstroInformatics, while on the one hand appears crucial to face the technological challenges, on the other is opening new exciting perspectives for new astronomical discoveries through the implementation of advanced data mining procedures. The complexity of astronomical data and the variety of scientific problems, however, call for innovative algorithms and methods as well as for an extreme usage of ICT technologies. The DAME (DAta Mining and Exploration) Program exposes a series of web-based services to perform scientific investigation on astronomical massive data sets. The engineering design and requirements, driving its development since the beginning of the project, are projected towards a new paradigm of Web based resources, which reflect the final goal to become a prototype of an efficient data mining framework in the data-centric era.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Cavuoti, M. Brescia, and G. Longo "Data mining and knowledge discovery resources for astronomy in the web 2.0 age", Proc. SPIE 8451, Software and Cyberinfrastructure for Astronomy II, 845103 (27 September 2012);

Cited by 1 scholarly publication.
Data mining


Data modeling

Web 2.0 technologies

Galactic astronomy

Data centers

Machine learning


Data central's data aggregation service
Proceedings of SPIE (August 29 2022)
Review of techniques for photometric redshift estimation
Proceedings of SPIE (September 24 2012)
Mining the LAMOST spectral archive
Proceedings of SPIE (September 16 2004)
Managing science data in the virtual observatory era
Proceedings of SPIE (June 29 2006)
Querator: an advanced multi-archive data mining tool
Proceedings of SPIE (November 01 2001)

Back to Top